# Applied AI Architect, Beneficial Deployments (Global & Public Health) at Anthropic

- Company: Anthropic
- Status: Open
- Workplace: On-site
- Location: San Francisco, CA | New York City, NY
- Level: Senior
- Discipline: AI & ML
- Employment: Full-time
- Salary: $240K–315K
- Posted: 2026-11-03
- Skills: AI, Python
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/5471361008

## Description

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 Beneficial Deployments 
 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 those who need it most.
 About the Role 
 We're looking for an Applied AI Architect to join Beneficial Deployments, focused on helping public health, global health and humanitarian organizations get real value from Claude. You'll be the technical lead for partners such as public health agencies and ministries of health, the institutes and NGOs that support them, and humanitarian organizations working in crisis settings. You'll help them find where Claude makes a real difference, from disease surveillance and outbreak response to health data, communications and program delivery, design solutions that fit their data, privacy and procurement rules, and turn early pilots into lasting deployments. What works for one partner becomes something the whole field can use.
 Responsibilities 
• 
 Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, turning their priorities into scoped use c

More Anthropic roles: https://deviantjobs.com/companies/anthropic
