Capgemini Invent - Forward Deployed Engineer Consultant

Capgemini•Atlanta, GA

About The Position

At Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the full value of their data and AI investments to drive meaningful, scalable change. As part of Capgemini’s Strategy & Transformation Consulting practice, DDT partners with clients to shape data‑centric strategies, modern operating models, and AI‑enabled solutions that deliver measurable business outcomes. Our unified team model brings together expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, enabling seamless collaboration from strategy through execution. We work with leading organizations across industries including manufacturing, energy, consumer products, and life sciences to design future‑ready capabilities and accelerate value realization. The DDT team is recognized for: Enabling Generative AI to improve efficiency and unlock new sources of innovation Applying data and AI to sustainability and digital transformation initiatives Designing scalable, reusable data and AI products Delivering value quickly in complex, fast‑moving environments Your RoleAs an Forward Deployed Engineer Consultant, you will embed directly within client teams to build, configure, and deploy AI and data solutions in live enterprise environments. You will focus on hands‑on delivery, learning client systems quickly, and contributing reliable technical output while operating under senior guidance.

Requirements

3–5 years in software engineering, data engineering, or a forward‑deployed technical role
Hands‑on Python and SQL skills for building pipelines and operational solutions
Experience working with at least one enterprise AI or data platform (e.g., Palantir Foundry or cloud‑native equivalents)
Comfort working directly inside client environments with limited oversight
Ability to document technical work and explain outputs to non‑technical stakeholders

Responsibilities

Build data pipelines, AI components, and platform configurations within client environments
Develop Python and SQL solutions to extract, transform, and operationalize data
Configure and extend enterprise AI/data platforms under established architectures
Participate in client standups, technical working sessions, and delivery cadences
Document solutions and support knowledge transfer to client teams

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
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

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