Manager, Applied AI Engineering, Beneficial Deployments (Life Sciences) en Anthropic

Presencial - San Francisco, CA

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Anthropic, a public benefit corporation focused on building safe and beneficial AI, is hiring a Manager of Applied AI Engineering for Life Sciences. The role involves leading a team of Applied AI Engineers to deliver reliable, research‑grade tools and integrations that enable Claude to work effectively in drug discovery and clinical translation environments. You will own technical success for strategic pharma and biotech partners, stay hands‑on with prototypes and agentic workflows, and translate field learnings into product roadmap improvements while maintaining rigorous safety and reliability standards.

Salary

USD 320,000 - 405,000

Requirements

Skills

  • Led or technically mentored software/ML engineers, ideally in a forward-deployed or customer-facing setting
  • Background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs
  • Strong hands‑on engineering background and comfortable reading and writing production code
  • Delivered technical work directly with external customers or partners, and can communicate credibly with technical experts and executives
  • Built on top of large language models or agents
  • Enthusiastic about unfamiliar technical domains and able to go deep quickly
  • High bar for reliability and reproducibility, understanding subtle correctness in scientific work
  • Built tooling, data infrastructure, evaluations, or agent harnesses that turn messy real-world data into usable and trustworthy formats, especially in scientific or research settings
  • Deep concern for safe and beneficial deployment of AI, especially in sensitive domains
  • Experience deploying LLM or agent systems in regulated or enterprise environments
  • Experience building MCP servers, developer tooling, or scientific computing pipelines
  • Experience scaling a customer‑facing technical team during rapid growth

Responsibilities

  • Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow
  • Own technical success with partners: be accountable for technical outcomes of strategic pharma and biotech deployments, from scoping through production
  • Stay hands‑on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems
  • Build agent‑ready scientific infrastructure: guide the team in creating deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude, in partnership with scientists and research institutions
  • Translate the field into the roadmap: partner cross‑functionally to turn what you learn from deployments into improvements in Anthropic's life sciences products and models
  • Set the standard for responsible deployment: work alongside safety teams to enable beneficial scientific work while guarding against misuse in a dual‑use domain
  • Build for the frontier: use deep knowledge of frontier model intelligence and R&D to rapidly progress toward solutions to meaningful problems in life sciences

Technologies

ClaudeMCPLarge language modelsAgentsBiological data infrastructureDeterministic tools and connectorsEvaluationsBioinformatics pipelines

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