{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/scaly-architectures"},"x-facet":{"type":"skill","slug":"scaly-architectures","display":"Scaly Architectures","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cecdb3f9-3d1"},"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.</p>\n<p>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>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</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>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! 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 @anthropic.com email addresses</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_cecdb3f9-3d1","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/5031670008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£150,000 - £170,000GBP","x-skills-required":["technical customer-facing skills","deep technical expertise","customer-facing skills","LLM solutions","scaly architectures","Python","common LLM frameworks and tools","machine learning or data science"],"x-skills-preferred":["teaching","mentoring","cross-organizational collaboration","trade-offs","balancing competing priorities"],"datePosted":"2026-03-08T14:05:43.685Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical customer-facing skills, deep technical expertise, customer-facing skills, LLM solutions, scaly architectures, Python, common LLM frameworks and tools, machine learning or data science, teaching, mentoring, cross-organizational collaboration, trade-offs, balancing competing priorities","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":170000,"unitText":"YEAR"}}}]}