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

  • 5–6 years in software or AI/ML engineering
  • Strong hands‑on experience with LLM systems (RAG, function calling, agents)
  • Experience with orchestration frameworks and vector databases
  • Solid cloud deployment, monitoring, and security knowledge
  • Ability to operate independently on client workstreams
  • 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

  • Design and implement end‑to‑end AI solution components within a defined architecture
  • Build governed agentic workflows, inference pipelines, and API layers
  • Make independent technical decisions and explain them to client engineers
  • Apply evaluation‑driven development and testing practices
  • Contribute to architecture documentation and reusable accelerators

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
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