Global Leader, Applied AI Architects, Beneficial Deployments

As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead a team of Applied AI Architects who serve as primary technical partners to mission-driven organisations 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.

Your responsibilities will include:

• Leading, growing, and mentoring a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences
• Setting the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments
• Establishing hiring plans, team structure, and career development paths as we scale the team globally
• Partnering closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships
• Driving the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organisations simultaneously

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 organisations,education, healthcare, scientific research, global development, or non-profits,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

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 organisations
• A working understanding of emerging research in agents, evaluations, and AI safety