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

  • 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.
  • 12+ years in enterprise software architecture or AI engineering
  • Proven experience building and leading consulting capabilities
  • Deep technical credibility with C‑suite and CTO‑level buyers
  • Track record of sustained revenue growth and market leadership
  • Recognized authority in enterprise AI architecture and engineering

Responsibilities

  • Define the AI engineering vision, standards, and delivery methodology for the practice
  • Sell, shape, and deliver large‑scale, multi‑year AI programs, owning technical scope, commercial outcomes, and delivery quality
  • Own technically complex client portfolios where engineering excellence is the core differentiator
  • Set the external technical narrative through thought leadership, partnerships, and executive forums
  • Build, scale, and retain a high‑performing AI engineering organization, including senior technical leaders

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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