AI Engineering Manager

As an Engineering Manager – Agentic for Neo within the Global Delivery Center, you will play a pivotal role in shaping the future of Capgemini’s Group wide AI platform. Neo is a newly launched strategic initiative, and this role sits at the heart of its evolution driving the development and operationalization of next generation agentic capabilities at scale.

You will lead a specialized engineering team focused on agent based systems, working closely with product, AI research, cloud, and change teams.

At Group IT, the mission is to empower the business through technology that enables efficiency, profitability, and sustainable growth by delivering enterprise wide solutions harmonizing global standards and integrating all business units into a unified IT services model.

The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses, with nearly 336,000+ people present in over 50 countries, providing strategy, design, operations, and more powered by cloud, data, AI, connectivity, software, digital engineering, and platforms.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Proven experience leading and managing engineering teams, ideally in AI/ML, agentic systems, or platform development
• Strong understanding of agentic architectures, AI/ML concepts, and model operationalization in production environments
• Hands on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies such as Docker and Kubernetes
• Solid technical background in Python or similar languages, with experience deploying and operating distributed systems

Your Role:

• Lead, coach, and grow the Agentic engineering team, ensuring delivery of high quality, reliable agent based features
• Own and align the design, development, and evolution of Neo’s agentic platform components
• Define and standardize best practices for agentic development, experimentation, and MLOps
• Collaborate closely with product, AI research, cloud, and change teams to translate strategic needs into implementable solutions
• Drive innovation by identifying, evaluating, and integrating emerging technologies and approaches in agentic and autonomous systems
• Ensure scalability, reliability, and operational readiness of agentic capabilities deployed across the platform
• Act as a key contributor to the overall technical direction and roadmap of Neo
• Foster a culture of continuous improvement, experimentation, and engineering excellence