Applied AI Architect, Beneficial Deployments (Global & Public Health)
- Salary
- $240,000 - $315,000
- Level
- Lead
- Visa
- Sponsors visas
Not stated in the posting: work type.
Open. First seen 3 November 2026.
About the role
Anthropic's standard text
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.
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.
Annual Salary:
$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.
Anthropic's standard text
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
Anthropic's standard text
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.
What this role asks for
63% of this description is written for the role. The rest is Anthropic's standard text, folded away below.
Compared with Anthropic's other open jobs.
The team: Applied AI HIRES STEADILY
This role is one of 61 open in Applied AI. 24 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (57 of 61), Machine Learning (31 of 61), Python (29 of 61), Generative AI (7 of 61), Prompt Engineering (7 of 61), TypeScript (7 of 61), AWS (6 of 61)
OTHER ROLES ON THIS TEAM
- Applied AI Architect, Public Sector (State & Local Government) posted Nov 3
- Applied AI Architect posted Nov 2
- Technical Deployment Lead posted Nov 2
- Applied AI Security Architect - Healthcare & Life Sciences posted Oct 23
- Applied AI Architect, Public Sector (Federal Civilan) posted Oct 23
- Applied AI Architect, Public Sector (GovTech) posted Oct 23
- Manager, Applied AI Cyber Specialists posted Oct 20
- Applied AI Demo Engineer posted Oct 19
- Applied AI Architect, Cyber Specialist posted Oct 16
- Manager, Applied AI Architects - Digital Natives, EMEA posted Oct 16
- Applied AI Engineer, Startups (Physical AI) posted Oct 15
- Applied AI Engineer, Startups (Life Sciences) posted Oct 15
- Staff Forward Deployed Engineer posted Oct 14
- Applied AI Engineer, Beneficial Deployments (Lab Automation) posted Oct 13
- Manager, Applied AI Architect posted Oct 13
- Applied AI Architect, Partnerships posted Oct 8
- Applied AI Architect posted Oct 8
- Manager of Applied AI Architecture, Startups posted Oct 7
- Applied AI Architect, Beneficial Deployments (Life Sciences Community & Enablement) posted Oct 7
- Manager, Applied AI Architecture, Enterprise Tech posted Oct 7
- Applied AI Engineer, Public Sector posted Oct 7
- Applied AI Engineer, Beneficial Deployments (Clinical Development, Rare and Neglected Diseases) posted Oct 6
- Manager, Applied AI Engineering (Megas) posted Oct 5
- Applied AI Architect, International Policy posted Sep 30
- Applied AI Architects, Partner posted Sep 30
- Field Executive Architect posted Sep 29
- Applied AI Architects, Partner posted Sep 29
- Applied AI Engineer, Beneficial Deployments (Life Sciences) posted Sep 29
- [London] Applied AI Architect, Partnerships posted Sep 28
- Applied AI Architect, Public Sector posted Sep 23
- Applied AI Engineer, Startups posted Sep 23
- Applied AI Architect, Startups posted Sep 23
- Manager, Applied AI Architect posted Sep 22
- Applied AI Architect posted Sep 21
- Applied AI Architect, Partnerships posted Sep 17
- Applied AI Architect, Partnerships posted Sep 15
- Forward Deployed Engineer posted Sep 14
- Applied AI, Research Engineer posted Sep 4
- Manager, Technical Deployment (Financial Services) posted Sep 4
- Applied AI Architect, Startups posted Aug 28
- Applied AI Architect, Strategic Enterprise Tech posted Aug 27
- Applied AI Architect, Industries posted Aug 26
- Manager Applied AI Architecture, Healthcare & Life Sciences posted Aug 21
- Manager of Applied AI Architecture, Commercial posted Aug 20
- Applied AI Architect posted Aug 20
- Applied AI Engineer, Enterprise posted Aug 19
- Applied AI Architect, Industries posted Aug 19
- Technical Deployment Lead posted Aug 19
- Forward Deployed Engineer posted Aug 17
- Applied AI Architect, Industries posted Aug 17
- Manager, Forward Deployed Engineering posted Aug 13
- Applied AI Architect, Enterprise Tech posted Aug 7
- Applied AI Architect, Partnerships posted Jul 7
- Applied AI Architect, Digital Natives Business posted May 21
- Applied AI Architect, Commercial posted Apr 17
- Manager, Forward Deployed Engineering posted Feb 5
- Applied AI Architect posted Jan 23
- Applied AI Engineer, Enterprise posted Jan 8
- Technical Deployment Lead posted Dec 4
- Applied AI Architect, Industries posted Dec 20
From the team and dates on Anthropic's own job board.
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