Applied AI Engineer, Beneficial Deployments (Life Sciences)

We're looking for an Applied AI Engineer to join our Beneficial Deployments team, 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.

You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows.

Responsibilities:

• Partner deeply with flagship life sciences research institutions , understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
• Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources, instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
• Identify what's actually hard about deploying AI in life sciences and feed those findings back to product, engineering, and research.
• Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You Might Be a Good Fit If You Have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder , with production experience shipping systems that real users depend on.
• Deep research experience in life sciences, biomedical research, or scientific computing.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

The annual compensation range for this role is $280,000-$320,000 USD.