Primary responsibilities include designing and deploying data-centered IT architectures for AI projects, collaborating with data science and business teams, evaluating generative AI solutions, optimizing data storage and processing infrastructures, ensuring data governance, coordinating project teams, and implementing new data hub platforms.
The ideal candidate must have extensive experience as a technical architect in AI and data projects, preferably in an investment banking environment. Required expertise includes deep knowledge of AI architectures, machine learning frameworks, cloud technologies, and regulatory compliance, with proven experience in integrating foundation models and developing advanced data solutions.
Crédit Agricole CIB offers a dynamic work environment within a large international banking IT department, providing opportunities for professional growth, innovative technological challenges, and the chance to work on cutting-edge data and AI transformation projects with global impact.
