Capgemini Invent, Consultant, Context Engineer

Capgemini•Atlanta, GA

8d•$110,000 - $137,500

About The Position

At Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the value of data and AI investments through data-centric strategies, modern operating models, and AI-enabled solutions. DDT combines expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion to support clients from strategy through execution. The Consultant, Context Engineer will design and deliver AI-ready data and knowledge foundations, including semantic layers, knowledge graphs, and context platforms. The role involves building and documenting data models and pipelines, supporting client discovery, and evaluating context platform tools. Consultants are expected to work in an AI-enabled consulting model, collaborating across strategy, technology, data, and design while applying responsible AI principles. The posted base compensation range is $110,000–$137,500. The role may also be eligible for variable incentives, bonuses, or commissions. Capgemini offers a benefits package to regular, full-time employees, subject to local policy and eligibility.

Requirements

3–5 years of experience in data engineering, analytics engineering, or data architecture.
Hands-on experience with dbt, SQL, and cloud data platforms.
Understanding of semantic models.
Strong documentation and data-quality skills.
Strong AI literacy, including core AI and generative AI concepts, and understanding of their application in enterprise transformation.
Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
Experience working in AI-augmented ways to enhance research, analysis, and solution development.
Ability to collaborate across strategy, technology, data, and design.
Understanding of responsible AI principles, including ethics, privacy, security, and governance.
Curiosity and a continuous learning mindset regarding emerging AI capabilities and their practical application in client environments.

Responsibilities

Design and deliver AI-ready data and knowledge foundations, including semantic layers, knowledge graphs, and context platforms.
Build LookML models, dbt metrics, dimensions, and measures.
Contribute to graph schema design.
Write data pipelines.
Document context contracts and data dictionaries.
Support discovery workshops.
Evaluate context platform tooling.
Identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
Work in AI-augmented ways to enhance research, analysis, and solution development.
Collaborate across strategy, technology, data, and design to enable AI-driven solutions.

Benefits

Paid time off, including vacation, company-paid holidays, personal days, and sick leave; vacation allowance varies by employee grade.
Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
Life and disability insurance.
Employee assistance programs.
Other benefits subject to local policy and eligibility.

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