Data & AI Lead

Capgemini Engineering

Key Responsibilities

• Define and lead the AI strategy, ensuring alignment with Capgemini's global vision and client priorities.
• Architect and oversee the design, training, and deployment of advanced AI/ML models across multiple domains (Industrial AI, NLP, Computer Vision, Generative AI, Predictive Analytics).
• Work with cross-functional engineering, data, and product teams to embed AI into digital engineering solutions, platforms, and services.
• Engage directly with clients, translating business challenges into AI-driven solutions that deliver tangible outcomes.
• Lead a team of AI engineers, data scientists, and researchers; mentor talent and foster a culture of experimentation, innovation, and delivery excellence.
• Ensure ethical AI practices, data governance, and compliance with relevant standards and regulations.
• Stay ahead of AI trends, emerging technologies, and research advancements to shape Capgemini's offerings and thought leadership.

Skills

• Strong knowledge of AI/ML techniques (deep learning, reinforcement learning, generative AI, NLP, computer vision, anomaly detection, time-series forecasting).
• Experience with leading AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud AI platforms (AWS, Azure, GCP).
• Ability to engage with business stakeholders and C-level executives in a consultative, value-focused manner.
• Strong leadership and mentoring skills, with experience managing technical teams.