Senior Contextual Systems Engineer - AI & Data

Capgemini Invent; Dallas (TX); On-site; USD 105,600 - 199,480; Full time

Benefits offered by this job

Paid time off (12-25 days)

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini Invent in Dallas is seeking a Senior Consultant, Contextual Systems, to drive data-driven transformation initiatives. In this role, you will design and implement semantic architectures and develop knowledge graphs, collaborating with client teams to deliver AI solutions.

The ideal candidate has 5–6 years of relevant experience and expertise with tools like LookML and Neo4j, as well as a strong understanding of AI principles. Benefits include competitive pay, health coverage, and generous leave policies.

Qualifications

• 5–6 years of experience in data engineering, data architecture, or knowledge management.
• Hands-on expertise with semantic layer tooling.
• Experience designing and working with knowledge graphs.
• Familiarity with modern LLM integration patterns.

Responsibilities

• Design and implement semantic layer architectures end-to-end.
• Build knowledge graph schemas and implement GraphRAG patterns.
• Define context contracts and governed datasets.
• Lead technical workshops to extract enterprise knowledge.
• Evaluate and configure knowledge platform tooling.

Skills

AI literacy

Data engineering

Data architecture

Knowledge management

Collaboration across disciplines

Tools

LookML

dbt

Neo4j

Job description

Capgemini Invent in Dallas is seeking a Senior Consultant, Contextual Systems, to drive data-driven transformation initiatives. In this role, you will design and implement semantic architectures and develop knowledge graphs, collaborating with client teams to deliver AI solutions.

The ideal candidate has 5–6 years of relevant experience and expertise with tools like LookML and Neo4j, as well as a strong understanding of AI principles. Benefits include competitive pay, health coverage, and generous leave policies.