Applied AI Architect, Beneficial Deployments (Life Sciences)

Anthropic · London, UK · Applied AI · listed September 9, 2026

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The shape of it

Seniority
Principal
Where
Hybrid
Requirements listed
2
Length
1,196 words

In the posting’s own words

We're looking for an Applied AI Architect to join Beneficial Deployments, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem, from early discovery in academia to paradigm-shifting biotech to reimagining pharma pipelines.

What it asks for · 2

  • Experience in life sciences, biomedical research, or scientific computing. Bonus if you've worked in genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
  • Familiarity with common LLM implementation patterns, including prompt and context engineering, evaluation frameworks, agent architectures, and retrieval frameworks

What the job covers

  • Serve as the primary technical advisor to life sciences research institutions and mission-driven organizations throughout their Claude adoption journey. Partner with the segment lead to understand scientific workflows end-to-end and translate them into impactful solutions from discovery through deployment.
  • Transform partners into AI-native organizations through Claude Code and Claude Science enablements and research and business process evolution, so they can operate more effectively and build for where AI capabilities are headed.
  • Design and lead cohort-based accelerators to scale our expertise and impact across multiple institutions at once. Identify what's actually hard about deploying AI in life sciences and feed those findings back to product, engineering, and research.
  • Spot patterns across partners to inform what we build at the ecosystem level, including MCP servers for domain-specific data sources, scientifically grounded benchmarks and evals, and reusable agent skills.
  • Create technical presentations, demos, and scalable content (documentation, tutorials, sample code) so what works for one institution can scale globally without the same level of hand-holding.
  • Travel occasionally to partner sites for workshops, technical deep dives, and relationship building.
  • Help shape team processes and culture as we scale from 1 to N.

Tools and skills named

Models & research
  • Evaluations
  • LLM
Ways of working
  • Mentorship
  • Technical writing
Go to market
  • Solutions architecture

Words the posting leans on

  • life sciences8×
  • technical8×
  • research6×
  • claude5×
  • engineer5×
  • partners5×
  • deployment4×
  • discovery4×
  • scientific4×
  • applied3×
  • building3×
  • impact3×
  • organizations3×
  • research institutions3×
  • scale3×
  • academic2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 9, 2026 and last changed by Anthropic on September 9, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.