Capgemini Invent- Contextual Systems Engineer Managing Consultant
AI summary of the role
Lead the design and delivery of enterprise context platforms (semantic layers, knowledge graphs) for major clients, owning architecture vision and technical relationships with VP-level leaders.
What you’ll do
- Lead end-to-end design and delivery of enterprise context platforms for major clients
- Architect knowledge graph solutions, semantic layers, and context store infrastructure at scale
- Own technical relationships with client data, AI, and engineering leadership
- Establish platform governance standards, versioning protocols, and reusable architectural patterns
What you’ll bring
- 7–9 years of experience in data or knowledge architecture with enterprise-scale delivery
- Deep expertise in semantic layers, knowledge graphs, and metadata management
- Proven experience leading technical delivery teams in consulting or client-facing environments
- Strong understanding of AI/ML integration patterns and governed data infrastructure
Technologies
knowledge graphs · semantic layers · metadata management · BigQuery · Snowflake · Collibra · Atlan · GenAI · agentic systems · AI/ML integration
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