Capgemini Invent - Contextual Systems Engineer Senior Consultant

About the role

Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Core Responsibilities

• 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

Skills + Experience Required

• 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

Pay

The base compensation range for this role in the posted location is: $105,600 - $199,480.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F)
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility