AI Lead

At Insights & Data, Capgemini builds solutions powered by generative and agentic AI that redefine how organizations operate, make decisions, and shape their processes. The company fosters an environment where innovation is part of everyday work and developing advanced AI systems contributes to technologies that change the world.

• Proven experience delivering AI systems into production.
• Expertise in ML, Generative AI and agentic AI architectures.
• Hands-on experience with at least two cloud platforms (GCP, AWS or Azure).
• Strong Python skills and a production focused engineering mindset.
• Solid experience with CI/CD and modern MLOps practices.
• Familiarity with platforms such as Databricks or Snowflake.
• Experience in leading teams or technical workstreams.
• Strong communication, stakeholder management, and decision-making abilities.
• High ownership, autonomy and a pragmatic approach to problem solving.

• Define and drive AI strategy across multiple projects and clients, ensuring alignment with business goals and long-term value.
• Lead end-to-end delivery of AI initiatives — from identifying opportunities and shaping solutions, through modeling and validation, to full production rollout.
• Architect scalable ML and Generative AI systems on modern cloud platforms, ensuring performance, security, and maintainability.
• Promote and implement agentic AI patterns and LLM-based architectures wherever they bring measurable impact.
• Establish and enforce engineering excellence, including CI/CD, MLOps best practices, model evaluation frameworks, and robust observability standards.
• Mentor and guide data scientists and ML engineers, supporting their technical growth and ensuring high-quality output.
• Ensure production readiness of all AI solutions, focusing on reliability, cost efficiency, performance, and governance.
• Collaborate closely with stakeholders to define roadmaps, set priorities, and drive successful project outcomes.
• Balance innovation with pragmatism, choosing solutions that deliver both technological advancement and sustainable long-term value.