# Senior AI Engineer

Hiring organization: [Bristol Myers Squibb](https://career.thegoodapps.co/organizations/bristol-myers-squibb)

Canonical page: https://career.thegoodapps.co/jobs/b790ccf4-ebe3-4f6f-9e8c-b68f1160de6c

Listed on Bristol Myers Squibb's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 137530 – 183319 USD per year

## Summary

This is a hands-on senior AI engineering role building cloud-native, AI-powered applications and agentic systems for pharmaceutical use cases. The position suits experienced backend engineers who are comfortable with frontier AI technologies, want to work on high-impact problems in a fast-paced delivery model, and can bridge AI capabilities with production reliability and enterprise architecture.

_Our summary, not Bristol Myers Squibb's wording._

## Skills named

Amazon Web Services (AWS), AWS CloudFormation, CI/CD, Docker, FastAPI, GitHub, Graph Databases, LangChain, LangGraph, Model Evaluation, Node.js, OpenAI, Python, Terraform, TypeScript, Vector Databases

## Required

- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years building and scaling software applications, cloud platforms, APIs, or distributed systems
- Strong proficiency in Python/FastAPI or TypeScript/Node
- Hands-on experience building cloud-native applications on AWS
- Experience designing and delivering AI-powered applications with LLMs, retrieval systems, workflows, or agents
- Experience building agentic AI applications using LangGraph, LangChain, PydanticAI, Claude Agent SDK, or similar
- Experience with containers, CI/CD, GitHub workflows, automated testing, and infrastructure-as-code (Terraform, AWS CDK, CloudFormation)
- Practical experience integrating enterprise LLM services (Anthropic, OpenAI, Gemini, AWS Bedrock, or similar)
- Understanding of architectural patterns for scaling AI applications from prototype to production
- Working knowledge of secure AI patterns: authentication, authorization, SSO, secrets management, auditability, guardrails
- Demonstrated ability to use AI coding agents and AI-assisted development tools
- Strong communication skills and ability to work in fast-moving, cross-functional agile teams

## Nice to have

- Experience building MCP servers, MCP tools, or FastMCP applications
- Experience designing retrieval, memory, and knowledge architectures with vector stores, relational and graph databases
- Experience developing multi-agent systems, workflow orchestration, tool-calling architectures, and durable execution patterns
- Experience with evaluation-driven development, agent testing, and AI observability platforms
- Experience with semantic layers, natural-language-to-SQL systems, or governed data access patterns
- Experience building sandboxed execution environments and audit-friendly agent architectures
- Experience deploying and operating production AI applications with real-world users and SLOs
- Experience partnering on chat, copilot, citation/provenance, and streaming user experiences
- Active GitHub contributions, open-source participation, or demonstrated AI projects
- Experience in life sciences, pharmaceutical, healthcare, or regulated industries

Apply on Bristol Myers Squibb's site: https://bristolmyerssquibb.wd5.myworkdayjobs.com/en-US/BMS/job/Seattle-400-Dexter---WA---US/Senior-AI-Engineer_R1602673