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# Capgemini Invent - Contextual Systems Engineer Senior Consultant

- **Company:** Capgemini
- **Location:** Atlanta, NY, United States
- **Experience:** Expert
- **Salary:** $105,600.0 - $199,480.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, BigQuery, Encodings, Data Architecture, Information Engineering, Graph Database, Knowledge Management, Neo4j, Cloud Services, Snowflake, Collibra, Data Analytics, Automation Anywhere
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=73fdcada3159e500

## About the Role

Do you have experience in Tooling?, * 5-6 years of experience in data engineering, data architecture, or knowledge management

 * Hands-on expertise with semantic layer tooling such as LookML, dbt, or equivalent technologies
 * Experience designing and working with knowledge graphs (Neo4j preferred)
 * Familiarity with modern LLM integration patterns, including RAG, embedding pipelines, and vector stores
 * Strong ability to translate business semantics into formal, well-governed technical specifications

Beneficial experience:

 * Experience working across cloud data platforms such as BigQuery or Snowflake
 * Exposure to governance and catalog tooling (e.g., Collibra, Atlan)
 * Interest in applied AI, agentic architectures, and enterprise-scale contextual systems

## Description

As a Senior Consultant, Contextual Systems, you will own defined workstreams end-to-end within AI and data-driven transformation engagements. You will design and implement the semantic and knowledge foundations that enable AI systems to understand enterprise context, working closely with senior architects and client data teams to deliver production-quality solutions.
You will develop trusted relationships with day-to-day client counterparts, operate independently within your workstreams, and manage priorities while escalating appropriately. In addition to client delivery, you will begin contributing to internal knowledge development and practice assets within the Data Driven Transformation team.
Core responsibilities include:

 * Designing and implementing semantic layer architectures end-to-end, including LookML models, dbt metrics, and ontologies
 * Building knowledge graph schemas and implementing GraphRAG patterns for contextual AI retrieval
 * Defining context contracts, including versioned semantic objects, governed datasets, and metric definitions
 * Leading technical workshops to extract and encode enterprise knowledge into machine-readable forms
 * Evaluating and configuring knowledge platform tooling, including graph databases, vector stores, and embedding pipelines
 * Partnering with AI engineering teams to integrate context layers into agentic and AI workflows


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