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

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. With Claude for Life Sciences, Anthropic is building tools that accelerate the work of scientists and drug developers across the full lifecycle, from early discovery through clinical translation and regulatory review. As the Applied AI Engineering Manager for Life Sciences, you will lead the team of engineers who turn that ambition into deployed reality inside the world's leading scientific organizations. Applied AI Engineers sit with customers, understand their scientific and regulatory workflows in depth, and build the prototypes, integrations, and agents that let Claude do meaningful work in the lab and the clinic.

• 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.
• Own technical success with partners: be accountable for the technical outcomes of strategic pharma and biotech deployments, from first scoping conversation 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 the deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude.
• Translate the field into the roadmap: partner cross functionally to turn learnings 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.

• Have led or technically mentored software/ML engineers, ideally in a forward-deployed, solutions, or customer-facing engineering setting.
• Have a background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs.
• Have a strong hands-on engineering background and are comfortable reading and writing production code.
• Have delivered technical work directly with external customers or partners.
• Have built on top of large language models or agents.
• Have built tooling, data infrastructure, evals, or agent harnesses that turn messy real-world data into something usable and trustworthy.
• Care deeply about the safe and beneficial deployment of AI, especially in sensitive domains.

Strong candidates may also have experience deploying LLM or agent systems in regulated or enterprise environments, building MCP servers, developer tooling, or scientific computing pipelines, and scaling a customer-facing technical team through rapid growth.

Annual Salary: $320,000—$405,000 USD.

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience in a field relevant to the role. Location-based hybrid policy: all staff are expected to be in one of Anthropic's offices at least 25% of the time. Anthropic sponsors visas where possible and encourages applications even from candidates who do not meet every qualification.