Global Applied AI Architecture Lead, Beneficial Deployments San Francisco, CA | New York City, NY

Global Applied AI Architecture Lead, Beneficial Deployments About Anthropic Anthropic’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. About the role As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead the team of Applied AI Architects who serve as the primary technical partners to mission-driven organizations and non-profits adopting Claude. You'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—while shaping how Anthropic's most important societal partnerships are designed and delivered. You'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 nonprofits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organizations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible. In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organization, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'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. Responsibilities Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences. 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. 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. Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships. Drive the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organizations simultaneously. Identify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, reference implementations, and shared infrastructure. Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves. Represent Anthropic externally with senior leaders at foundations, nonprofits, research institutions, and government‑adjacent organizations. Travel to partner sites globally for workshops, technical deep dives, and relationship building. Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic. Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments. You may be a good fit if you have 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. 7+ years of engineering or technical leadership experience, preferably building and scaling customer‑facing or forward‑deployed teams globally. Experience working with or inside mission‑driven organizations—education, healthcare, scientific research, global development, or nonprofits—and a genuine understanding of the constraints, incentives, and operating realities of these sectors. Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python. A track record of building teams in ambiguous, fast‑moving environments, and comfort wearing multiple hats as the team scales. Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership. Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed. The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear. A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks. Strong candidates may also have Experience leading globally distributed teams across time zones and regions. Background in philanthropy, global health, education technology, or scientific research. Experience designing cohort‑based or programmatic delivery models that scale technical expertise across many organizations. A working understanding of emerging research in agents, evaluations, and AI safety. About the team Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission‑driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor for the people and institutions working on humanity's hardest problems. Compensation The annual compensation range for this role is $315,000 - $380,000 USD. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. 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