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

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $320,000-$405,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5277834008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_129677ae-0c2

## Description

## Job Description

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.

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.

### 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 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: guide the team in creating the 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 our 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 coupled to your work in R&D and research to rapidly progress toward solutions to meaningful problems in life sciences.

### Requirements

- 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, not just managing those who do.

- Have delivered technical work directly with external customers or partners, and can communicate credibly with both technical experts and executives.

- Have built on top of large language models or agents.

- Are energized by an unfamiliar technical domain and have a track record of going deep fast.

- Hold a high bar for reliability and reproducibility, and understand why a plausible-looking answer that's subtly wrong can be worse than no answer in scientific work.

- Have built tooling, data infrastructure, evals, or agent harnesses that turn messy real-world data into something usable and trustworthy , especially welcome if in a scientific or research setting.

- Care deeply about the safe and beneficial deployment of AI, especially in sensitive domains.

### Nice to Have

- 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 through a period of rapid growth.

### Logistics

- Annual Salary: $320,000-$405,000 USD

## Skills

### Required
- Applied AI Engineering
- Life Sciences
- Leadership
- Software Engineering
- Machine Learning

### Nice to have
- Large Language Models
- Agent Systems
- Scientific Computing Pipelines
- MCP Servers
- Developer Tooling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5277834008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)