Capgemini Invent - Contextual Systems Engineer Senior Consultant
AI summary of the role
Senior Consultant role on Capgemini Invent's Data Driven Transformation team, owning workstreams that design and implement semantic and knowledge foundations for enterprise AI systems.
What you’ll do
- Design and implement semantic layer architectures end-to-end (LookML, dbt metrics, ontologies)
- Build knowledge graph schemas and implement GraphRAG patterns for contextual AI retrieval
- Define context contracts including versioned semantic objects and governed datasets
- Lead technical workshops to encode enterprise knowledge into machine-readable forms
What you’ll bring
- 5–6 years in data engineering, data architecture, or knowledge management
- Hands-on expertise with semantic layer tooling (LookML, dbt, or equivalent)
- Experience designing and working with knowledge graphs (Neo4j preferred)
- Familiarity with LLM integration patterns: RAG, embedding pipelines, vector stores
Technologies
LookML · dbt · knowledge graphs · Neo4j · GraphRAG · RAG · embedding pipelines · vector stores · BigQuery · Snowflake · Collibra · Atlan
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