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Capgemini Engineering is seeking an Architect with 3+ years in architectural roles and 5+ years in core development. The candidate will work on production-grade AI implementations using Agentic AI, LangGraph, LangChain, MCP, and A2A.
Strong Python with Java or .NET is required, plus Microservices and cloud (AWS preferred, Azure/GCP acceptable). Join Capgemini’s global AI and engineering teams to deliver scalable, cutting-edge AI solutions across industries.
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.
We are looking for a Excellent resource who has very strong experince in Arichtect(at least 3 yrs) and Prior Experince in Core Development(at leasst 5 years) with skills as Agentic AI, LangGraph, LangChain, MCP, A2A, Google ADKProduction-grade AI implementationsPython with strong Java or .NET backgroundMicroservices architectureAWS preferred (Azure/GCP acceptable)
Agentic AI, LangGraph, LangChain, MCP, A2A, Google ADKProduction-grade AI implementationsPython with strong Java or .NET backgroundMicroservices architectureAWS preferred (Azure/GCP acceptable)
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.