Enterprise Ai Solutions Architect

17 ott - Lazio
Capgemini Engineering

Experience designing enterprise AI, ML or GenAI solutions;
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.
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, reliable and cost-aware;
Lead architecture reviews and communicate options and trade-offs to stakeholders.
YOUR PROFILE
5+ years in solution architecture, data architecture, AI architecture or related roles;
Experience delivering production-grade AI, ML or GenAI solutions;
Experience working across technical and business teams in complex environments.
Experience designing enterprise AI, ML or GenAI solutions;
Strong understanding of LLMs, RAG, AI agents and orchestration patterns;
Knowledge of AI application architecture, APIs and cloud-native integration;
Understanding of model evaluation, monitoring and lifecycle concepts;
Familiarity with vect

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