# 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_239d5bb7-f74

## Description

## Job Overview

As the Applied AI Engineering Manager for Life Sciences at Anthropic, you will lead a team of engineers who develop and deploy AI solutions for life sciences organisations. Your mission will be to accelerate biological discovery and help scientists and drug developers across the full lifecycle.

## Responsibilities

- Build and lead a team of Applied AI Engineers dedicated to strategic life sciences partners

- Own technical success with partners and be accountable for the technical outcomes of deployments

- Stay hands-on and review prototypes, contribute to code, and help the team overcome technical challenges

- Build agent-ready scientific infrastructure to make biological data reliably accessible to AI agents

- Translate learnings from deployments into improvements in Anthropic's life sciences products and models

- Set the standard for responsible deployment of AI in a sensitive domain

- Collaborate with cross-functional teams to advance Anthropic's strategy and mission

## Requirements

- Experience leading or mentoring software/ML engineers, preferably in a customer-facing setting

- Background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs

- Strong hands-on engineering background and ability to read and write production code

- Experience delivering technical work directly with external customers or partners

- Familiarity with large language models or agents

- Ability to rapidly learn and adapt to new technical domains

- High standards for reliability and reproducibility

- Experience building tooling, data infrastructure, or agent harnesses for scientific or research settings

- Commitment to the safe and beneficial deployment of AI

## 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 rapid growth

## Logistics

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

- Minimum education: Bachelor's degree or equivalent

- Required field of study: Relevant to the role

- Minimum years of experience: Correlates with internal job level requirements

- Location-based hybrid policy: 25% office time expected

- Visa sponsorship: Available

## Skills

### Required
- Applied AI Engineering
- Life Sciences
- Software Engineering
- Machine Learning
- Computational Biology
- Bioinformatics

### Nice to have
- Large Language Models
- Agent Systems
- MCP Servers
- Scientific Computing Pipelines
- Customer-Facing Technical Team Management

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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)