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

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.

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.

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.

• 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.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.