AI & Data Engineer, Data Discovery Services
Listed on 2026-08-08
-
IT/Tech
AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.
You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.
You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:
At the core of this is a semantic knowledge layer -- metadata, taxonomies, and relationships that describe what data means and how it connects -- curated as a data inventory that helps AI work reliably across the enterprise. This is a high-impact team where engineering, search, and applied AI come together to solve real problems at scale.
As an AI / Data Engineer, you'll be a hands-on Python developer building the pipelines and integrations that make enterprise data more discoverable. Your primary focus is data engineering -- pipelines, metadata enrichment, transformations, and platform integrations. You'll also contribute to search and AI-powered retrieval as you grow into the role. Working alongside data engineers, search engineers, and data scientists, this is a hands-on engineering role -- you'll write code, build pipelines, ship features, and own what you deliver.
Why Join Us?
- Work with a modern stack -- Databricks, Amazon Web Services (AWS), Open Search, vector search, semantic knowledge layers, graph databases, and AI agents.
- Build real AI-powered discovery capabilities, not proofs of concept.
- Grow your skills across data engineering, search, and applied AI on the same team.
- Use AI-assisted development tools (Claude, Copilot) in your daily workflow.
- Contribute to open-source projects and shared accelerators.
- Clear path to grow into senior engineering, search specialization, or AI engineering roles.
- Make enterprise data findable and accessible for teams working to improve patient outcomes.
You'll also contribute to search and AI-powered retrieval as you grow into the role. Working alongside data engineers, search engineers, and data scientists, this is hands-on engineering role — you'll write code, build pipelines, ship features, and own what you deliver.
- Build and maintain Python pipelines that pull metadata from enterprise data catalogs, enrich it with taxonomy tags and ownership…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).