Applied AI Architect, Beneficial Deployments (Life Sciences Community & Enablement)

EngineersOfAI; San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Anthropic is seeking an Applied AI Architect for Beneficial Deployments to empower scientists worldwide with Claude, especially Claude Science. You will run enablement programs, craft demos and tutorials, and grow a community of researchers using frontier models in their work.

You will collaborate with Applied AI and Customer Success teams, scale programs, and help campaigns and content reach the scientific community. A strong science background is essential.

Qualifications

• Hands-on expertise with AI tools for science and Claude Science.
• Evidence of scientific credibility and program leadership.
• Experience running education or enablement programs for researchers.

Responsibilities

• Be the DRI for scientific enablement: decide, build, deliver, and measure daily Claude use by research teams.
• Lead programs activating scientists at scale (LSVP, Claude for Researchers).
• Build demos, notebooks, tutorials; share tools publicly.
• Scale enablement across Applied AI and Customer Success teams; develop playbooks.
• Cultivate a scientist community around Claude; support ambassador programs.
• Translate researcher feedback into concrete asks; collaborate with Marketing to reach scientists.

Skills

Deep AI for science

Science program leadership

Communication to scientists

Demos and tutorials

Education

Advanced degree in a science field

Tools

Claude Science

LLM APIs

Job 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 our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room.

Responsibilities

• Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude.

• Lead our programs for activating scientists at scale, such as LSVP and Claude for Researchers: set the goals, design the program and run it.

• Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.).

• Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you.

• Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences.

• Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community.

You Might Be a Good Fit If You Have

• Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break.

• Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus.

• A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons.

• Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists.

• 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: talks, tutorials and docs that scientists find useful.

• A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook.

• Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission.

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.