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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>TS/SCI clearance required</li>\n</ul>\n<ul>\n<li>Must have prior experience working with US national security (defense and/or intelligence) agencies</li>\n</ul>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiar with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_853e1417-019","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5079511008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$270,000 USD","x-skills-required":["TS/SCI clearance","Prior experience working with US national security (defense and/or intelligence) agencies","Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager","Experience navigating complex buying cycles involving multiple stakeholders","Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders","Experience designing scalable cloud architectures and integrating with enterprise systems","Familiar with Python","Familiarity with common LLM frameworks and tools or a background in machine learning or data science"],"x-skills-preferred":["Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more","Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities","A love of teaching, mentoring, and helping others succeed","Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders","Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems"],"datePosted":"2026-04-18T15:59:41.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TS/SCI clearance, Prior experience working with US national security (defense and/or intelligence) agencies, Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager, Experience navigating complex buying cycles involving multiple stakeholders, Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders, Experience designing scalable cloud architectures and integrating with enterprise systems, Familiar with Python, Familiarity with common LLM frameworks and tools or a background in machine learning or data science, Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more, Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities, A love of teaching, mentoring, and helping others succeed, Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d71bfd7-723"},"title":"Partner Solutions Architect, Applied AI","description":"<p>As a Partner Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP).</p>\n<p>You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.\\n\\nResponsibilities:\\n\\n<em> Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation\\n\\n</em> Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success\\n\\n<em> Support customers building with the Claude API, Claude Code, and Claude for Enterprise\\n\\n</em> Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend\\n\\n<em> Build reusable blueprints, demos, and enablement assets that scale across customers\\n\\n</em> Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack\\n\\n<em> Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases\\n\\n</em> Identify common integration patterns and contribute insights back to our Product and Engineering teams\\n\\n<em> Travel occasionally to customer sites for workshops, technical deep dives, and relationship building\\n\\n</em> Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns\\n\\nYou may be a good fit if you have:\\n\\n<em> 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience\\n\\n</em> A builder identity. 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You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers across India integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>7+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.</li>\n</ul>\n<ul>\n<li>We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment</li>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n<li>Create and deliver compelling technical content tailored to different audiences</li>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>Security clearance not required, but a plus</li>\n<li>Must have prior experience working with US federal agencies</li>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n<li>Familiar with Python</li>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders</li>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. <strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. <strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. <strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a23fa848-274","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5079540008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000 - $270,000 USD","x-skills-required":["technical customer-facing skills","deep technical expertise","customer-facing skills","LLM solutions","cloud architectures","enterprise systems","Python","LLM frameworks","machine learning","data science"],"x-skills-preferred":["teaching","mentoring","cross-organizational collaboration","trade-offs","balancing competing priorities","communication and interpersonal skills","complicated topics","diverse stakeholders"],"datePosted":"2026-03-08T13:57:16.439Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical customer-facing skills, deep technical expertise, customer-facing skills, LLM solutions, cloud architectures, enterprise systems, Python, LLM frameworks, machine learning, data science, teaching, mentoring, cross-organizational collaboration, trade-offs, balancing competing priorities, communication and interpersonal skills, complicated topics, diverse stakeholders","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_482331bc-ccc"},"title":"Solutions Architect, Applied AI (Industries)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximise the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment</li>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n<li>Create and deliver compelling technical content tailored to different audiences</li>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n<li>Native German speaker with fluent English proficiency</li>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n<li>Comfortable with python</li>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders</li>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Annual salary: €190,000 - €200,000</li>\n<li>Education requirements: Bachelor&#39;s degree in a related field or equivalent experience</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate</li>\n<li>We encourage you to apply even if you do not believe you meet every single qualification</li>\n<li>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from official company email addresses and never ask for payment or sensitive information</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_482331bc-ccc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4977624008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€190,000 - €200,000","x-skills-required":["Solutions Architect","Sales Engineer","Technical Account Manager","Python","LLM frameworks and tools","Machine learning or data science"],"x-skills-preferred":["German","English","Cloud architectures","Enterprise systems"],"datePosted":"2026-03-08T13:53:25.400Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Sales Engineer, Technical Account Manager, Python, LLM frameworks and tools, Machine learning or data science, German, English, Cloud architectures, Enterprise systems","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ecc4ede4-8ad"},"title":"Solutions Architect, Applied AI (Startups)","description":"<p><strong>About the role</strong></p>\n<p>As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You&#39;ll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.</p>\n<p>Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you&#39;ll guide startups from initial technical discovery through successful deployment and beyond. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing the state of the art in AI and making a positive impact on society.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ecc4ede4-8ad","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4968059008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£150,000 - £170,000GBP","x-skills-required":["Python","LLM frameworks","AI engineering best practices","Context engineering","Evaluation frameworks","Modern AI architectures"],"x-skills-preferred":["Sales Engineer","Forward Deployed Engineer","Technical founder","Software engineer","Technical founder-led sales"],"datePosted":"2026-03-08T13:52:25.221Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM frameworks, AI engineering best practices, Context engineering, Evaluation frameworks, Modern AI architectures, Sales Engineer, Forward Deployed Engineer, Technical founder, Software engineer, Technical founder-led sales","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7e396bde-ed2"},"title":"Solutions Architect, Applied AI (Government Technology)","description":"<p><strong>About the role:</strong></p>\n<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment</li>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n<li>Create and deliver compelling technical content tailored to different audiences</li>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>US Secret Clearance preferred for working with defense tech customers</li>\n<li>Prior work in government, government contracting, or government tech preferred</li>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n<li>Familiar with Python</li>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders</li>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time</li>\n<li>Visa sponsorship: We do sponsor visas! 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You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p><strong>Responsibilities:</strong></p>\n<p><strong>Strategic Technical Partnership</strong></p>\n<p>Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.</p>\n<p><strong>Joint Solution Development:</strong></p>\n<p>Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment</p>\n<p><strong>Customer Deal Support:</strong></p>\n<p>Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.</p>\n<p><strong>Partner Ecosystem &amp; Events:</strong></p>\n<p>Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.</p>\n<p><strong>Product Feedback:</strong></p>\n<p>Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.</p>\n<p><strong>You may be a good fit if you have:</strong></p>\n<p><strong>5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager</strong></p>\n<p><strong>Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery</strong></p>\n<p><strong>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</strong></p>\n<p><strong>Strong presentation &amp; technical communication skills with the ability to translate requirements between technical and business stakeholders</strong></p>\n<p><strong>Experience designing scalable cloud architectures and integrating with enterprise systems</strong></p>\n<p><strong>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</strong></p>\n<p><strong>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</strong></p>\n<p><strong>A love of teaching, mentoring, and helping others succeed</strong></p>\n<p><strong>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</strong></p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</strong></p>\n<p><strong>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</strong></p>\n<p><strong>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</strong></p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale projects. We&#39;re committed to making AI systems that are safe, beneficial, and aligned with human values.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_31304363-4b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4950664008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000 - $345,000 USD","x-skills-required":["Solutions Architect","Sales Engineer","Partner Sales Engineer","Technical Account Manager","Cloud Architectures","Enterprise Systems","LLM Frameworks","Machine Learning","Data Science"],"x-skills-preferred":["Technical Communication","Cross-Organizational Collaboration","Trade-Offs","Balancing Competing Priorities","Teaching","Mentoring","Helping Others Succeed"],"datePosted":"2026-03-08T13:49:54.359Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager, Cloud Architectures, Enterprise Systems, LLM Frameworks, Machine Learning, Data Science, Technical Communication, Cross-Organizational Collaboration, Trade-Offs, Balancing Competing Priorities, Teaching, Mentoring, Helping Others Succeed","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":345000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fda8a5ef-e62"},"title":"Solutions Architect, Applied AI","description":"<p><strong>About the role</strong></p>\n<p>As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<ul>\n<li>Collaborate across time zones with global teams while serving as the technical expert for the India market</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<ul>\n<li>Ability to work effectively across cultures and time zones as part of a global team</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fda8a5ef-e62","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5117581008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Solutions Architect","Sales Engineer","Technical Account Manager","Python","LLM frameworks and tools","Machine learning or data science"],"x-skills-preferred":["Cloud architectures","Enterprise systems","Technical communication","Cross-organizational collaboration"],"datePosted":"2026-03-08T13:49:46.942Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Sales Engineer, Technical Account Manager, Python, LLM frameworks and tools, Machine learning or data science, Cloud architectures, Enterprise systems, Technical communication, Cross-organizational collaboration"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9a4d5749-9f5"},"title":"Solutions Architect, Applied AI","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the role</strong></p>\n<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Act as a primary technical advisor to enterprise customers throughout their adoption journey, from discovery to initial evaluation, and through deployment. You will ensure internal coordination between multiple teams and stakeholders to ensure customer success</li>\n</ul>\n<ul>\n<li>Assist customers developing projects with the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and disseminate compelling technical content tailored to various audiences. You will be able to go from in-depth technical explanations for development teams to value-focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology infrastructure</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance in their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and bring perspectives to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Occasionally visit customer sites for workshops, technical deep dives, and relationship-building</li>\n</ul>\n<ul>\n<li>Maintain a deep understanding of the latest developments in LLM capabilities and deployment models</li>\n</ul>\n<p><strong>Profile sought:</strong></p>\n<ul>\n<li>More than 5 years of experience in technical customer-facing roles, such as Solutions Architect, Technical Sales Engineer, or Account Technical Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, in complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with diverse stakeholders and communicate technical concepts, including senior executives, IT teams, and engineering teams</li>\n</ul>\n<ul>\n<li>Strong technical communication skills, with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience with designing cloud-native, scalable architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Proficient in Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Enthusiasm for participating in inter-organizational collaboration, finding compromises, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Love of teaching, mentoring, and customer success</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complex topics in easily understandable terms to a diverse range of external and internal stakeholders</li>\n</ul>\n<ul>\n<li>Passion for creative thinking on how to use technology safely and beneficially, ultimately advancing the development of safe AI systems</li>\n</ul>\n<p><strong>Deadline for applications:</strong></p>\n<p>No deadline. Applications will be reviewed on a rolling basis.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9a4d5749-9f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4977626008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Solutions Architect","Technical Sales Engineer","Account Technical Manager","Python","Cloud-Native","Scalable Architectures","Enterprise Systems","LLM Frameworks","Machine Learning","Data Science"],"x-skills-preferred":["Technical Communication","Customer Requirements","Technical Implementation","Business Objectives","Evaluation Frameworks","Integration Patterns","Technical Architecture","Cloud-Native","Scalable Architectures","Enterprise Systems","LLM Frameworks","Machine Learning","Data Science"],"datePosted":"2026-03-08T13:49:38.995Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Technical Sales Engineer, Account Technical Manager, Python, Cloud-Native, Scalable Architectures, Enterprise Systems, LLM Frameworks, Machine Learning, Data Science, Technical Communication, Customer Requirements, Technical Implementation, Business Objectives, Evaluation Frameworks, Integration Patterns, Technical Architecture, Cloud-Native, Scalable Architectures, Enterprise Systems, LLM Frameworks, Machine Learning, Data Science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d38ab71-400"},"title":"Research Engineer, Pretraining Scaling","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role:</strong></p>\n<p>Anthropic&#39;s ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company&#39;s future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you&#39;ll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.</p>\n<p>This role lives at the boundary between research and engineering. You&#39;ll work across our entire production training stack: performance optimisation, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can&#39;t wait for tomorrow.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own critical aspects of our production pretraining pipeline, including model operations, performance optimisation, observability, and reliability</li>\n<li>Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure</li>\n<li>Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance</li>\n<li>Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams</li>\n<li>Build and maintain production logging, monitoring dashboards, and evaluation infrastructure</li>\n<li>Add new capabilities to the training codebase, such as long context support or novel architectures</li>\n<li>Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams</li>\n<li>Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems</li>\n<li>Genuinely enjoy both research and engineering work—you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other</li>\n<li>Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure</li>\n<li>Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs</li>\n<li>Excel at debugging complex, ambiguous problems across multiple layers of the stack</li>\n<li>Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents</li>\n<li>Are passionate about the work itself and want to refine your craft as a research engineer</li>\n<li>Care about the societal impacts of AI and responsible scaling</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale</li>\n<li>Contributed to open-source LLM frameworks (e.g., open\\_lm, llm-foundry, mesh-transformer-jax)</li>\n<li>Published research on model training, scaling laws, or ML systems</li>\n<li>Experience with production ML systems, observability tools, or evaluation infrastructure</li>\n<li>Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence</li>\n</ul>\n<p><strong>What Makes This Role Unique:</strong></p>\n<p>This is not a typical research engineering role. The work is highly operational—you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.</p>\n<p>However, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.</p>\n<p>We&#39;re building a close-knit team of people who genuinely care about doing excellent work together. If you&#39;re someone who wants to be part of training the models that will define the future of AI—and you&#39;re excited about the full reality of what that entails—we&#39;d love to hear from you.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5d38ab71-400","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4938432008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $850,000USD","x-skills-required":["JAX","TPU","PyTorch","large-scale distributed systems","model operations","performance optimisation","observability","reliability","model training","scaling laws","ML systems"],"x-skills-preferred":["open-source LLM frameworks","production ML systems","observability tools","evaluation infrastructure","systems engineer","quant"],"datePosted":"2026-03-08T13:48:54.589Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JAX, TPU, PyTorch, large-scale distributed systems, model operations, performance optimisation, observability, reliability, model training, scaling laws, ML systems, open-source LLM frameworks, production ML systems, observability tools, evaluation infrastructure, systems engineer, quant","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c4eada1-9ea"},"title":"Solutions Architect, Applied AI (Startups)","description":"<p><strong>About the role</strong></p>\n<p>As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You&#39;ll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.</p>\n<p>Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you&#39;ll guide startups from initial technical discovery through successful deployment and beyond. You&#39;ll leverage your expertise to help founders understand Claude&#39;s capabilities, develop evals, and design architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion</li>\n<li>Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions</li>\n<li>Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams</li>\n<li>Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales</li>\n<li>Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies</li>\n<li>Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams</li>\n<li>Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation</li>\n<li>Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures</li>\n<li>Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams</li>\n<li>Track record of selling technical products in competitive markets</li>\n<li>Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns</li>\n<li>Passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8c4eada1-9ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5057258008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000 - $270,000 USD","x-skills-required":["Technical customer-facing roles","Solutions Architect","Sales Engineer","Forward Deployed Engineer","Technical founder","Python","LLM frameworks","Tools","Integration patterns","Context engineering","Evaluation frameworks","Modern AI architectures"],"x-skills-preferred":["Builder credibility","Software engineer","Technical founder","Builder-first mindset","LLM solutions","Technical evaluations","Evaluation frameworks","Modern AI architectures","Python","LLM frameworks","Tools","Integration patterns","Context engineering","Evaluation frameworks","Modern AI architectures"],"datePosted":"2026-03-08T13:47:48.001Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical founder, Python, LLM frameworks, Tools, Integration patterns, Context engineering, Evaluation frameworks, Modern AI architectures, Builder credibility, Software engineer, Technical founder, Builder-first mindset, LLM solutions, Technical evaluations, Evaluation frameworks, Modern AI architectures, Python, LLM frameworks, Tools, Integration patterns, Context engineering, Evaluation frameworks, Modern AI architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c88cf3a-287"},"title":"Partner Solutions Architect, Applied AI","description":"<p>As a Partner Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li><strong>Strategic Technical Partnership</strong>: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative team, and we&#39;re committed to making our work as open and transparent as possible.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5c88cf3a-287","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5112493008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical customer-facing/partner-facing roles","Solutions Architect","Sales Engineer","Partner Sales Engineer","Technical Account Manager","Scalable cloud architectures","Enterprise systems","LLM frameworks","Machine learning","Data science"],"x-skills-preferred":["Cloud providers","GSI and RSI","AWS and GCP","GenAI applications","Joint solutions","Reference architectures","Best practices","Customer deal support","Partner ecosystem and events","Developer events","Hackathons","Technical enablement sessions"],"datePosted":"2026-03-08T13:47:28.566Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing/partner-facing roles, Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager, Scalable cloud architectures, Enterprise systems, LLM frameworks, Machine learning, Data science, Cloud providers, GSI and RSI, AWS and GCP, GenAI applications, Joint solutions, Reference architectures, Best practices, Customer deal support, Partner ecosystem and events, Developer events, Hackathons, Technical enablement sessions"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7ae7941-01c"},"title":"Solutions Architect, Applied AI (State and Local Government, West)","description":"<p><strong>About the role:</strong></p>\n<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment</li>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n<li>Create and deliver compelling technical content tailored to different audiences</li>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>Must have prior experience working with US federal, state, and/or local agencies</li>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n<li>Familiar with Python</li>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders</li>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time</li>\n<li>Visa sponsorship: We do sponsor visas! 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You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences across Japan. 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You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role:</strong></p>\n<p>Anthropic&#39;s ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company&#39;s future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you&#39;ll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.</p>\n<p>This role lives at the boundary between research and engineering. You&#39;ll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can&#39;t wait for tomorrow.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability</li>\n<li>Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure</li>\n<li>Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance</li>\n<li>Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams</li>\n<li>Build and maintain production logging, monitoring dashboards, and evaluation infrastructure</li>\n<li>Add new capabilities to the training codebase, such as long context support or novel architectures</li>\n<li>Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams</li>\n<li>Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems</li>\n<li>Genuinely enjoy both research and engineering work—you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other</li>\n<li>Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure</li>\n<li>Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs</li>\n<li>Excel at debugging complex, ambiguous problems across multiple layers of the stack</li>\n<li>Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents</li>\n<li>Are passionate about the work itself and want to refine your craft as a research engineer</li>\n<li>Care about the societal impacts of AI and responsible scaling</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale</li>\n<li>Contributed to open-source LLM frameworks (e.g., open\\_lm, llm-foundry, mesh-transformer-jax)</li>\n<li>Published research on model training, scaling laws, or ML systems</li>\n<li>Experience with production ML systems, observability tools, or evaluation infrastructure</li>\n<li>Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence</li>\n</ul>\n<p><strong>What Makes This Role Unique:</strong></p>\n<p>This is not a typical research engineering role. The work is highly operational—you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.</p>\n<p>However, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.</p>\n<p>We&#39;re building a close-knit team of people who genuinely care about doing excellent work together. 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Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.</p>\n<p>Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.</p>\n<p>Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.</p>\n<p>Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.</p>\n<p><strong>About The Role</strong></p>\n<p>As a Senior Forward Deployed Engineer (FDE) for our U.S. Public Sector team at Invisible, you&#39;ll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client stakeholders and our internal delivery teams.</p>\n<p>This is a hybrid role: equal parts AI architect, hands-on engineer, and technical advisor. You’ll work on the front lines with ambitious clients, turning operational challenges into scalable AI workflows. You’ll be trusted to lead complex engagements, make architectural calls, and mentor others across technical and non-technical domains.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders</li>\n<li>Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures</li>\n<li>Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability</li>\n<li>Build usable systems from messy data and incomplete or evolving requirements</li>\n<li>Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)</li>\n<li>Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration</li>\n<li>Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity</li>\n<li>Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible</li>\n</ul>\n<p><strong>What We Need</strong></p>\n<ul>\n<li>Active U.S. Department of Defense Secret clearance or higher</li>\n<li>5+ years of software engineering experience, including work on data-intensive, ML, or backend systems</li>\n<li>Ability to work on-site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area</li>\n<li>Python &amp; ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)</li>\n<li>Deployment &amp; infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)</li>\n<li>Platform &amp; data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes</li>\n<li>Experience leading requirements-gathering activities and translating stakeholder input into technical specifications</li>\n</ul>\n<p><strong>What’s In It For You</strong></p>\n<p>Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.</p>\n<p>For this position, the annual salary ranges by location are:</p>\n<p>Tier 2 Salary Range $164,000 – $240,000USD</p>\n<p>You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.</p>\n<p>Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process</p>\n<p><strong>What It&#39;s Like to Work at Invisible:</strong></p>\n<p>At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.</p>\n<p>We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. 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