Enterprise Ai Solutions Architect

Capgemini; Modena; On-site; EUR 90,000 - 130,000; Full time

Job summary

Capgemini Engineering is seeking an Enterprise AI Solutions Architect in Modena, Italy. You will be responsible for designing and governing secure, scalable, production-ready AI and GenAI solutions, combining architecture leadership with practical AI knowledge to translate business needs into sustainable technical solutions.

You will guide engineering teams across implementation, integration and deployment, define end-to-end architectures, select models and platforms, and establish governance

Responsibilities

• Define end-to-end architectures for AI and GenAI solutions.
• Design AI-enabled applications, agentic workflows and orchestration patterns.
• Select suitable models, platforms, frameworks and integration approaches.
• Establish standards for AI governance, security, responsible AI and compliance.
• Guide engineering teams during implementation, integration and deployment.
• Ensure AI solutions are observable, scalable.

Job description

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 most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide 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 are the same.

YOUR ROLE

As an Enterprise AI Solutions Architect at Capgemini Engineering you will be responsible for design and govern secure, scalable and production-ready AI and GenAI solutions. The role combines architecture leadership with practical knowledge of AI technologies, supporting engineering teams and translating business needs into sustainable technical solutions. In this role, you will be a key player in the following activities:

• Define end-to-end architectures for AI and GenAI solutions;
• Design AI-enabled applications, agentic workflows and orchestration patterns;
• Select suitable models, platforms, frameworks and integration approaches;
• Establish standards for AI governance, security, responsible AI and compliance;
• Guide engineering teams during implementation, integration and deployment;
• Ensure AI solutions are observable, scalable