AI Engineer

Bristol Myers Squibb

. 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.

Posted 5/22/2026full-timeSeattle • New Jersey, Washington • 🇺🇸 United StatesJunior💰 $98,670 - $131,655 per yearWebsite

Tech Stack

Tools & technologies

AWSETLNeo4jNumpyPandasPostgresPythonRedis

About the role

Key responsibilities & impact

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 (PostgreSQL/RDS), vector databases (OpenSearch, Milvus, Amazon S3 Vectors), and knowledge graphs (Amazon Neptune, Neo4j).
Build and operate data infrastructure on AWS, leveraging services such as S3, Athena, RDS, ElastiCache (Redis), and Fargate.
Build and maintain multi-agent systems using LangGraph, 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 LangSmith 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.

Requirements

What you’ll need

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, NumPy) and web frameworks (FastAPI).
Experience with data pipelines on AWS (S3, RDS, Athena, ElastiCache, Fargate) and relational databases (PostgreSQL), vector databases, or knowledge graphs.
Experience with LLM application development, including prompt engineering, tool use, and structured outputs.
Familiarity with agent frameworks (LangGraph, LangChain, PydanticAI) or demonstrated ability to learn new frameworks quickly.
Comfort with GitHub and DevOps 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.

Benefits

Comp & perks

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPandasNumPyPostgreSQLAWSETLLLM application developmentautomated testingdata pipelinesdata transformations

Soft Skills

curious mindsetadaptabilityeffective communicationcollaborationproblem-solvinginquisitive mindsetteamworktechnical discussionscode reviewstest-driven development

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Data Science