Jobs · Engineering · Illinois

Capgemini Invent -Forward Deployed Engineer Managing Consultant

Capgemini Invent · Chicago, IL · 1 mo ago
Engineering$128k–$249k/yrFull-time

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.

Responsibilities

  • Lead embedded engineering delivery across one or more client environments, owning technical execution and day-to-day client relationships.
  • Balance hands-on leadership with delivery oversight, ensuring solutions are governed, maintainable, and adopted at scale.
  • Own technical relationships with Director- and VP-level client stakeholders.
  • Establish engineering standards, documentation practices, and delivery rhythms.
  • Ensure solutions are production-ready, governed, and transferable to client ownership.
  • Identify expansion opportunities based on on-the-ground delivery insights.

Requirements

  • Strong AI literacy, including core AI and generative AI concepts, and understanding how these apply to enterprise transformation.
  • Able to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, and 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, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance.
  • Demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Skills

  • 7+ years in embedded, forward-deployed, or enterprise software engineering (consulting preferred).
  • Proven experience leading a small engineering team within a client environment.
  • Deep hands-on expertise with Palantir Foundry or equivalent enterprise AI/data platforms.
  • Strong client relationship skills with Director- or VP-level engineering and operations leaders.
  • Experience delivering governed AI solutions, data pipelines, and platform enablement.

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