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

Anthropic; San Francisco, New York (CA, NY); On-site; USD 240,000 - 315,000; Full time

Benefits offered by this job

Office in San Francisco

Flexible working hours

Equity donation matching

Generous vacation and parental leave

Job summary

Anthropic Limited in San Francisco seeks an Applied AI Architect for Beneficial Deployments, focusing on public health, global health and humanitarian work. You will lead technical work with health partners, design Claude-based solutions, guide data governance and procurement, and help move pilots to durable deployments.

This role requires 3+ years in customer-facing technical roles, experience with health agencies, and hands-on work with LLM APIs.

Qualifications

• 3+ years 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.
• Hands‑on experience building with LLM APIs: you can prototype a working demo.
• Clear written and spoken communication across a broad audience.

Responsibilities

• Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, turning their priorities into scoped use cases with clear measures of success.
• Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications.
• Guide partners through security review, data governance and procurement, from national agencies to field operations.
• Run workshops, trainings and tabletop exercises that build AI fluency across partner teams.
• Build reusable assets (reference designs, connectors, prompt and eval templates).
• Spot patterns across partners and help measure impact for future deployments.

Skills

Customer-facing roles

Solutions architecture

Public health familiarity

LLM APIs

Education

Bachelor's degree

Tools

Claude API

Job description

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

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 cases with clear measures of success.
• Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications.
• Guide partners through security review, data governance and procurement, from national agencies to field operations.
• Run workshops, trainings and tabletop exercises that build AI fluency across partner teams.
• Build reusable assets (reference designs, connectors, prompt and eval templates) so one partner's work helps the next.
• Spot patterns across partners, bring field insight back to Product and Research, and help partners measure what changed.
• Travel to partner sites for workshops, technical deep dives and relationship building.

You Might Be a Good Fit If You Have

• 3+ years 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 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: you can prototype a working demo. You don't need to write production code.
• Clear written and spoken communication across a broad audience. The ability to explain technical tradeoffs to epidemiologists, program leads, field teams and executives.
• Patience with long buying cycles, a knack for knowing how to make them go smoothly, and real care for public benefit.
• Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission.
• Bonus if you've worked on disease surveillance, outbreak response, health information systems or emergency operations.

The annual compensation range for this role is listed below.

$240,000 - $315,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

We believe that AI will have a transformative impact on the world, and we’re seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.”