AI Engineer

Summary

As an AI Engineer within Bristol Myers Squibb’s AI Venture Studio delivery team, you will be a hands‑on individual contributor who partners with other engineers and stakeholders across the organization to build the data pipelines, integrations, and agentic AI systems that power AI Accelerator projects. You will experiment with cutting‑edge technologies through rapid prototyping, implement data‑centric workflows, manage data stores, and develop multi‑agent orchestration patterns using enterprise‑aligned tools.

Working in an agile manner with matrixed stakeholders, you will help ensure that Accelerator projects have reliable, well‑engineered data foundations and enable 12‑week project cycles to move faster.

• Design, build, and maintain data pipelines that feed AI Accelerator projects, including ETL workflows, data transformations, and integration with internal and external APIs and data sources.
• Develop and manage relational databases (Postgre
  
  SQL/RDS), vector databases (Open Search, Milvus, Amazon S3 Vectors), and knowledge graphs (Amazon Neptune, Neo4j).
• Build and operate data infrastructure on AWS, leveraging services such as S3, Athena, RDS, Elasti Cache (Redis), and Fargate.

• Build and maintain multi‑agent systems using Lang Graph, including state management, fan‑out/fan‑in orchestration, and subgraph composition.
• Develop tool integrations and MCP (Model Context Protocol) servers using FastMCP to enable agent interoperability.
• Implement LLM‑powered workflows integrating foundational models (OpenAI, Anthropic, Gemini) via AWS Bedrock and direct API access.
• Build evaluation and observability pipelines using tools such as Lang Smith or promptfoo.

• Write and maintain automated test suites (unit, integration, end‑to‑end) using pytest to ensure reliability of data pipelines and agent workflows.
• Develop evaluation frameworks for LLM outputs, including reference‑based metrics and structured output validation.
• Implement data quality checks and validation at system boundaries to catch issues early in the pipeline.
• Support test‑driven development practices and contribute to CI test automation.

• Partner with AI Engineers, Pod Leads, and Research scientists to deliver AI Accelerator projects within 12‑week cycles.
• Participate in code reviews, design discussions, and technical problem‑solving with pod teams.

• Bachelor’s or higher degree in Computer Science, Engineering, Data Science, or a scientific field.
• 1‑3 years of experience in data engineering, software engineering, or related technology or computational roles.
• Strong proficiency in Python, including data libraries (Pandas, Num Py) and web frameworks (FastAPI).
• Experience with data pipelines on AWS (S3, RDS, Athena, Elasti Cache, Fargate) and relational databases (Postgre
  
  SQL), vector databases, or knowledge graphs.
• Experience with LLM application development, including prompt engineering, tool use, and structured outputs.
• Familiarity with agent frameworks (Lang Graph, Lang Chain, Pydantic
  
  AI) or demonstrated ability to learn new frameworks quickly.
• Comfort with Git Hub and Dev Ops practices.
• Effective use of coding agents (e.g., Claude Code, Codex, Gemini CLI).
• Knowledge of and experience in agile ways of working.
• Experience writing automated tests (unit, integration, end‑to‑end) using pytest or similar frameworks.
• Curious and inquisitive mindset with the ability to adapt quickly to changing priorities.

Cambridge Crossing: $108,650 – $131,655
Madison – Giralda – NJ – US: $98,770 – $119,686
Princeton – NJ – US: $98,770 – $119,686
Seattle – WA: $108,650 – $131,655
Starting compensation ranges apply to full‑time employees; additional incentive cash and stock opportunities may be available.

• Health Coverage:
  Medical, pharmacy, dental, and vision care.
• Wellbeing Support: BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well‑being and Protection: 401(k) plan, disability, life insurance, and other supplemental benefits.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations, and ongoing support. All applicants are considered irrespective of gender, race, creed, religion, national origin, age, sexual orientation, disability, or any protected characteristic.

BMS will consider qualified applicants with arrest and conviction records in accordance with applicable laws.

We will never request payments, financial information, or social security numbers during our application or recruitment process. All data processed in connection with applications will be treated in accordance with applicable privacy policies and regulations.