AI & Data Engineer, Data Discovery Services

Role: AI / Data Engineer within Bristol Myers Squibb's Data Discovery Services team, focusing on building and maintaining data pipelines, metadata enrichment, and platform integrations to enhance data discoverability enterprise-wide. Responsibilities: develop Python-based pipelines pulling metadata from enterprise catalogs, enrich with taxonomies, optimize search indexes, and contribute to semantic knowledge layers supporting AI retrieval, including RAG and large language models; maintain ontology and taxonomy integrations; troubleshoot data pipelines across Databricks and AWS Glue; and develop APIs for search and metadata functionalities. Requirements: Bachelor’s in computer science, Data Science, or related field; proven experience in data engineering with Python and SQL; familiarity with Databricks, AWS Glue, OpenSearch/Elasticsearch, and metadata management. Preferred: experience with semantic knowledge layers, vector search, AI-ready data inventories, ontology/taxonomy platforms, and knowledge graph tech; exposure to AI agent frameworks and cloud AI services (Azure, GCP, AWS). Stakeholders include data scientists, search engineers, and platform teams; reporting line not specified. Work setup involves hybrid or remote work with a focus on enterprise data platforms and AI-powered discovery capabilities.