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

Anthropic•San Francisco, NY

4d•Hybrid

About The Position

Anthropic is hiring an Applied AI Architect for its Beneficial Deployments team, focused on helping public health, global health, and humanitarian organizations get practical value from Claude. The role serves as technical lead for partners including public health agencies, ministries of health, supporting institutes and NGOs, and humanitarian organizations working in crisis settings. The architect identifies high-value use cases, designs solutions suited to partners’ data, privacy, and procurement requirements, and helps turn early pilots into lasting deployments. Solutions that work for one partner are developed into reusable approaches for the broader field. The role involves advising health partners from discovery through deployment, building and demonstrating solutions with Claude and related tools, and supporting security reviews, data governance, procurement, training, and measurement of outcomes. It also involves sharing field insights with Anthropic’s Product and Research teams and traveling to partner sites for workshops, technical deep dives, and relationship building. The position has a location-based hybrid policy: staff are currently expected to work from an Anthropic office at least 25% of the time, though some roles may require more. Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Beneficial Deployments partners with nonprofits, foundations, and mission-driven organizations to deploy Claude in areas including education, global health, economic mobility, and life sciences. The position offers an annual salary of $240,000–$315,000 USD. The stated minimum education is a bachelor’s degree or an equivalent combination of education, training, and/or experience, in a field relevant to the role as demonstrated through coursework, training, or professional experience.

Requirements

At least 3 years of experience in customer-facing technical roles such as solutions architecture, sales engineering, forward-deployed engineering, or technical consulting.
Experience working with public health agencies, ministries of health, global health or humanitarian organizations, or similarly complex public institutions, including understanding how they buy, adopt, and govern technology.
A track record of making technology stick inside slow-moving organizations with many stakeholders.
Hands-on experience building with LLM APIs and the ability to prototype a working demo; production-code writing is not required.
Clear written and spoken communication across broad audiences.
Ability to explain technical tradeoffs to epidemiologists, program leads, field teams, and executives.
Patience with long buying cycles and ability to help them proceed smoothly, together with a genuine interest in public benefit.
Comfort operating in ambiguity, bringing clarity to fuzzy problems, wearing multiple hats, and doing what is needed to further the mission.
A bachelor’s degree or equivalent combination of education, training, and/or experience.
A field of study relevant to the role, demonstrated through coursework, training, or professional experience.

Nice To Haves

Experience with disease surveillance, outbreak response, health information systems, or emergency operations.

Responsibilities

Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, translating priorities into scoped use cases with clear measures of success.
Design and demonstrate solutions using Claude, the API, Claude Science, and Claude Code for surveillance, outbreak response, data analysis, and public communications.
Guide partners through security reviews, data governance, and procurement, from national agencies to field operations.
Run workshops, trainings, and tabletop exercises to build AI fluency across partner teams.
Build reusable assets such as reference designs, connectors, and prompt and evaluation templates.
Identify patterns across partners, bring field insights to Product and Research, and help partners measure outcomes.
Travel to partner sites for workshops, technical deep dives, and relationship building.