Capgemini Invent - Forward Deployed Engineer Consultant

Capgemini • Chicago, NY

3d • Onsite

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

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
• Strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation.
• Ability to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness.
• Experience working in AI‑augmented ways of working to enhance research, analysis, and solution development.
• Collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions.
• Solid understanding of responsible AI principles such as ethics, privacy, security, and governance.
• Curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Responsibilities

• Embed directly within client teams to build, configure, and deploy AI and data solutions in live enterprise environments.
• Focus on hands‑on delivery, learning client systems quickly, and contributing reliable technical output while operating under senior guidance.
• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed