Capgemini Engineering, a global leader in engineering services, seeks a skilled Data Science/ML Architect to join its innovative team. Contribute to cutting-edge R&D and engineering services across diverse industries, from autonomous vehicles to advanced robotics. This role offers a dynamic career path with abundant opportunities for growth and impact, where no two days are the same.

Design and implement production-grade AI solutions, focusing on Agentic AI, LangGraph, and LangChain. Lead architectural decisions for microservices and leverage Python with a strong background in Java or .NET. Prioritize AWS for cloud infrastructure, with Azure or GCP as acceptable alternatives. Contribute to the development of advanced AI and generative AI capabilities within a global transformation partner.

A seasoned professional with 9-18 years of experience, including at least 3 years in an Architect role and 5 years in core development. Proficiency in Agentic AI, LangGraph, LangChain, MCP, A2A, and Google ADK is essential. Expertise in production-grade AI implementations, Python, and a solid foundation in Java or .NET are required. Experience with microservices architecture and a preference for AWS (Azure/GCP acceptable) are key qualifications.