Global Leader, Applied AI Architects, Beneficial Deployments

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

Requirements

• 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

Nice-to-Haves

• 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

Compensation

Annual OTE: $315,000 - $380,000 USD (includes base salary and sales commissions/bonuses)