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

  • Source: Greenhouse
  • Anthropic
  • $275,000 to $315,000 /yr
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

  • 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
  • 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

Benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • 22 weeks of paid parental leave
  • Flexible paid time off and absence policies
  • Mental health support for you and your dependents
  • Competitive salary and equity packages
  • Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
  • Retirement plans with competitive matching
  • Life and income protection plans
  • $500/month flexible wellness and time saver stipend
  • Commuter benefits
  • Annual education stipend
  • Home office stipends
  • Relocation support for those moving for Anthropic
  • Daily meals and snacks in the office- A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons
  • Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission
  • Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break
  • Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists
  • 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
  • Hands-on experience building with LLM APIs: you can prototype a working demo. You don’t need to write production code
  • 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
  • Clear written and spoken communication: talks, tutorials and docs that scientists find useful
  • 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
  • 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
  • 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
  • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
  • We encourage you to apply even if you do not believe you meet every single qualification

Skills

  • carrot-fertility
  • claude-by-anthropic
  • greenhouse

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