Senior Agentic AI Solution Specialist

03 ott - Roma
Capgemini

Questa posizione è in Capgemini

Il processo di selezione sarà interamente gestito Capgemini.

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About the job you are considering Capgemini’s Insights & Data practice helps leading organizations harness data and Artificial Intelligence to drive innovation, efficiency, and business transformation. As organizations accelerate adoption of Generative AI and Agentic AI technologies, we are expanding our capability to deliver intelligent, scalable, and secure AI solutions that create measurable business value. We are looking for a Senior Agentic AI Solution Specialist to join our growing AI team. In this client-facing role, you will work with business and technology stakeholders to design, develop, and implement advanced AI solutions. You will help clients translate business challenges into scalable AI architectures, leveraging Agentic AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and modern cloud technologies. The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices,



client sites, and your home, noting that you will be unable to work at home 100% of the time.
Your Role
- Design and develop enterprise AI solutions, with a particular focus on Agentic AI, Generative AI, and RAG architectures.
- Work with clients to understand business requirements and translate them into scalable technical solution designs.
- Build, integrate, and optimize AI applications using Python and leading AI development frameworks.
- Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls.
- Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services.
- Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle.
- Provide technical leadership on AI solution architecture, best practices

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