Capgemini Engineering is seeking a senior Agentic AI Engineer for AI-Native Software Engineering in Italy. You will join our Software Engineering Center of Excellence to design and build platforms and frameworks based on Generative AI, Multi-Agent Systems, and emerging technologies that enable autonomous capabilities across the entire Software Development Lifecycle. Responsibilities: - Apply Agentic AI and Generative AI to development processes for embedded systems, cyber-physical products, and software-intensive platforms across industrial domains. - Collaborate with domain experts in Automotive, Aerospace, Defence, Railway, Manufacturing, and Life Sciences to create AI-Augmented Engineering models. - Design and develop distributed agent systems and Multi-Agent architectures to support the full lifecycle of software. - Build intelligent orchestration frameworks to coordinate agents, tools, data, and complex workflows. - Integrate Large Language Models, Generative AI, and Reasoning Systems within development, testing, and DevOps processes. - Build autonomous capabilities for requirements analysis, software design, code generation, testing, quality assurance, and deployment. - Experiment with Agentic AI, AI-Augmented Engineering, and Autonomous Software Development techniques. - Collaborate with architects, developers, domain experts, data scientists, and business stakeholders to industrialize new solutions. - Contribute to accelerators, reusable assets, and enterprise platforms intended for global clients. - Participate in innovation initiatives, applied research, and pre-s

Capgemini Engineering is seeking a senior Agentic AI Engineer for AI-Native Software Engineering in Italy. You will join our Software Engineering Center of Excellence to design and build platforms and frameworks based on Generative AI, Multi-Agent Systems, and emerging technologies that enable autonomous capabilities across the entire Software Development Lifecycle. Responsibilities: - Apply Agentic AI and Generative AI to development processes for embedded systems, cyber-physical products, and software-intensive platforms across industrial domains. - Collaborate with domain experts in Automotive, Aerospace, Defence, Railway, Manufacturing, and Life Sciences to create AI-Augmented Engineering models. - Design and develop distributed agent systems and Multi-Agent architectures to support the full lifecycle of software. - Build intelligent orchestration frameworks to coordinate agents, tools, data, and complex workflows. - Integrate Large Language Models, Generative AI, and Reasoning Systems within development, testing, and DevOps processes. - Build autonomous capabilities for requirements analysis, software design, code generation, testing, quality assurance, and deployment. - Experiment with Agentic AI, AI-Augmented Engineering, and Autonomous Software Development techniques. - Collaborate with architects, developers, domain experts, data scientists, and business stakeholders to industrialize new solutions. - Contribute to accelerators, reusable assets, and enterprise platforms intended for global clients. - Participate in innovation initiatives, applied research, and pre-s