About The Position

At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen—grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor (“forward deployed”) mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.

Requirements

  • 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
  • Strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation.
  • Able 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.
  • Demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Responsibilities

  • Lead embedded engineering teams and own delivery quality across workstreams
  • 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

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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