Graph Engineer, Data Context Layer
Core
Design, build, and maintain graph and semantic infrastructure to provide consistent, reusable context for enterprise data products and agentic AI capabilities.
Role type
Senior Graph Engineer (Data Context Layer)
Builds
Graph-based data structures, knowledge graphs, and context-serving layers for enterprise applications and AI agents.
Domain
Healthcare biopharma / Enterprise Data & AI
Deliverable
production ML models | infrastructure
Required skills
AWS cloud technologies, graph data modeling, knowledge graphs, semantic technologies, data pipeline construction, graph query optimization, agentic AI concepts, prompt engineering, context engineering
Preferred skills
RDF, OWL, SPARQL, ontology management, metadata management, CI/CD, observability, secure production operations
Technologies
AWS (S3, Glue, Lambda, Step Functions, DynamoDB, Neptune, Redshift, Athena, CloudWatch), TIMBR-like tools
Responsibilities
Design and implement graph-based data structures and knowledge graph solutions; Model entities, relationships, and semantic structures; Build and maintain pipelines to ingest, transform, and populate graph data; Optimize graph performance and query patterns; Support graph validation, versioning, and operational monitoring; Expose graph data via APIs to applications and AI workflows.
Seniority
Senior, hands-on IC
