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Role description
About the Project
Join a Pharma industry initiative building a platform where AI agents work directly with enterprise data - turning business questions into SQL queries, surfacing insights, and delivering answers through an agentic interface. This project sits at the intersection of data engineering and AI engineering: you'll build the infrastructure that lets agents talk to Snowflake in natural language, as part of a real production platform rather than a prototype or demo.
Requirements
- Strong Python backend development skills
- Proficient in Semantic Web technologies (RDF, OWL, SPARQL or similar)
- Proven track record building Knowledge Graphs and semantic data layers
- Hands-on with graph databases (Neo4j or similar)
- Skilled in semantic search and retrieval architectures
- Familiar with integrating AI agents into enterprise systems (MCP or similar approaches)
- Comfortable with Prompt Engineering and Agentic AI workflows
- Working knowledge of Snowflake or similar cloud data platforms
- Capable of integrating enterprise data sources into a unified platform
- Solid understanding of APIs, CI/CD, and cloud-native engineering
Nice to Have
- GraphRAG
- Event-driven integration patterns
- Life Sciences / Pharma industry background
- Enterprise AI platforms and agent frameworks