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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a1ecaac-284"},"title":"Global Leader, Applied AI Architects, Beneficial Deployments","description":"<p>As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead a team of Applied AI Architects who serve as the primary technical partners to mission-driven organisations and non-profits adopting Claude. You&#39;ll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences.</p>\n<p>You&#39;ll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types,from global health foundations to leading research institutions to frontline non-profits. You&#39;ll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organisations operating as AI-native, and you&#39;ll be accountable for the team, processes, and cross-functional relationships that make that possible.</p>\n<p>In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organisation, you&#39;ll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You&#39;ll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences</li>\n</ul>\n<ul>\n<li>Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments,from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure</li>\n</ul>\n<ul>\n<li>Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence</li>\n</ul>\n<ul>\n<li>Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships</li>\n</ul>\n<ul>\n<li>Drive the design of cohort-based accelerators, Claude Code enablement programmes, and other scalable mechanisms that multiply our impact across many organisations simultaneously</li>\n</ul>\n<ul>\n<li>Identify patterns across partners and segments to inform what we build at the ecosystem level,MCPs, evals, reference implementations, and shared infrastructure</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves</li>\n</ul>\n<ul>\n<li>Represent Anthropic externally with senior leaders at foundations, non-profits, research institutions, and government-adjacent organisations</li>\n</ul>\n<ul>\n<li>Travel to partner sites globally for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic</li>\n</ul>\n<ul>\n<li>Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments</li>\n</ul>\n<ul>\n<li>7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally</li>\n</ul>\n<ul>\n<li>Experience working with or inside mission-driven organisations,education, healthcare, scientific research, global development, or non-profits,and a genuine understanding of the constraints, incentives, and operating realities of these sectors</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; 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As a key member of our team, you will design, build, and optimize integrations between xAI&#39;s frontier models and international government systems, platforms, and data environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and optimize integrations between xAI&#39;s frontier models and international government systems, platforms, and data environments</li>\n<li>Develop secure, scalable solutions for use cases such as policy analysis, edtech, scientific research support, public health modeling, regulatory workflows, and citizen-facing services across diverse global contexts</li>\n<li>Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for international government and enterprise developers</li>\n<li>Partner with international agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback, including during on-site assignments</li>\n<li>Contribute to safe deployment practices, including red-teaming, bias evaluation, output filtering, and explainability features for high-stakes non-classified applications in varied regulatory landscapes</li>\n<li>Fine-tune and adapt xAI models for specific international government use cases, incorporating custom guardrails and evaluation frameworks to ensure alignment with mission objectives and ethical guidelines</li>\n<li>Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>4+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency required; 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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 Beneficial Deployments</strong></p>\n<p>Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team. You&#39;ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more</li>\n<li>Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development</li>\n<li>Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP&#39;s, and Agent Skills</li>\n<li>Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research</li>\n<li>Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service</li>\n<li>Help shape team processes and culture as we scale from 1 to N</li>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You Have</strong></p>\n<ul>\n<li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder</li>\n<li>Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale</li>\n<li>Builder credibility that earns trust with technical founders and engineering teams—you&#39;ve shipped products and can speak from experience</li>\n<li>Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission</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. However, some roles may require more time in our offices</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. 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><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 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</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_297256fb-31a","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/5068226008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $300,000 USD","x-skills-required":["Software Engineer","Forward Deployed Engineer","Technical founder","LLM-powered applications","Prompting","Context engineering","Agent architectures","Evaluation frameworks","Deployment at scale","Ed-tech","Healthcare","Scientific research","Nonprofit","Mission-driven organisations","Public goods infrastructure","Benchmarks","MCP's","Agent Skills","Technical presentations","Demos","Scalable technical content","Documentation","Tutorials","Sample code"],"x-skills-preferred":["Pair programming","Prototyping","Code contributions","Team processes","Communication skills"],"datePosted":"2026-03-08T13:56:45.563Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Forward Deployed Engineer, Technical founder, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale, Ed-tech, Healthcare, Scientific research, Nonprofit, Mission-driven organisations, Public goods infrastructure, Benchmarks, MCP's, Agent Skills, Technical presentations, Demos, Scalable technical content, Documentation, Tutorials, Sample code, Pair programming, Prototyping, Code contributions, Team processes, Communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":300000,"unitText":"YEAR"}}}]}