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

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.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$320,000

—

$405,000 USD

Logistics

Biology is the area where scientific progress has perhaps the greatest potential to directly and unambiguously improve human life — and we believe powerful AI could meaningfully accelerate the rate of biological discovery, helping compress decades of progress into years.

Claude for Life Sciences

, we're 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'll lead the team of engineers who turn that ambition into deployed reality inside the world's leading scientific organizations.

Our Applied AI Engineers are the technical front line: they 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.

You'll grow and lead this team, own the technical success of our most strategic life sciences accounts, those ties to advancing our strategy and mission, and create the feedback loop that turns what we learn in the field into better products and models.

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 the technical outcomes of our 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:

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.