Drimva

Anthropic

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

$275K–$315K

San Francisco, CA +2 · Full-time · Posted Oct 7, 2026

Location
San Francisco, CA
New York City, NY
San Francisco, California, United States
Experience
Years of experience will correlate with the internal job level requirements; no specific number stated.
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.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.

About the job

Helps scientists adopt Claude by designing and delivering enablement programs, building scientific demos, and growing a community of researchers using the tools.

What you'll do

  • Plan, deliver, and measure scientific enablement programs, workshops, and hackathons.
  • Build demos, notebooks, and tutorials; train internal teams and create reusable playbooks.
  • Build and lead a scientist community, represent scientists’ needs internally, and partner on outreach.

What they ask for

  • Hands-on expertise with AI tools for science and experience building with LLM APIs.
  • Scientific experience in academic labs, biotechs, pharma, or research institutes.
  • Track record helping scientific teams adopt tools through demos, trainings, workshops, or hackathons.
  • Strong communication and demonstrated ownership of programs or products from idea to results.

Nice to have

  • Experience building or running programs for scientific communities.
  • Up-to-date knowledge of AI for science, including agentic analysis and AI co-scientists.

Pay

$275,000 — $315,000 USD (base salary)

Tools

Claude, Claude Science, LLM APIs

AI focus

Enable scientists to use Claude and other AI tools for scientific research; build and demonstrate applications of frontier models in science.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)