# Global Leader, Applied AI Architects, Beneficial Deployments

**Company**: Anthropic
**Location**: San Francisco, CA | New York City, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $315,000-$380,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5192104008
**Canonical**: https://yubhub.co/jobs/job_dbbfbfe1-a44

## Description

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

## Skills

### Required
- technical leadership
- customer-facing roles
- complex, high-stakes deployments
- LLM implementation patterns
- prompt engineering
- evaluation frameworks
- agent frameworks
- retrieval systems
- Python

### Nice to have
- globally distributed teams
- philanthropy
- global health
- education technology
- scientific research