Louis Vuitton GenAI & Agentic AI Trainee

Louis Vuitton is a leading Maison of the LVMH group renowned for its heritage in luxury leather goods, ready-to-wear and accessories. The brand combines artisanal savoir‑faire with a forward-looking approach to creativity and innovation, operating across multiple product categories and international markets.

1. Coordinate and drive project activities across cross-functional stakeholders to ensure timely delivery of milestones and alignment with business objectives
2. Translate ad hoc data requests into structured analyses and dashboards to inform decision-making
3. Contribute to the end-to-end product management of AI Agent initiatives, including product design documentation and version control
4. Design, execute and monitor structured testing and evaluation frameworks for Agentic AI solutions
5. Curate, manage and iteratively optimize prompt libraries for performance, robustness and scalability
6. Support the lifecycle management of AI Agents by proposing and implementing workflow improvements
7. Prepare clear, executive-ready presentations and technical documentation to communicate insights and project status
8. Support user training and adoption programs to ensure effective deployment and business impact

1. Currently enrolled in a higher‑education program (Bachelor’s or Master’s) in Computer Science, Data Science, Engineering, HCI, Business Analytics or a related discipline
2. Strong verbal and written communication skills with proven ability to engage stakeholders
3. Prior experience or coursework in product design, project management or project support
4. Proficiency in SQL and Excel for data extraction, analysis and reporting
5. Advanced presentation and documentation skills using PowerPoint
6. Working knowledge of Python
7. Familiarity with Vertex AI and/or Copilot Studio is a strong advantage
8. Experience independently building agents or automations is highly desirable
9. High sense of responsibility, autonomy and ability to manage multiple tasks concurrently
10. Fluency in English (written and spoken)

1. SQL
2. Excel
3. PowerPoint
4. Python
5. Vertex AI
6. Copilot Studio
7. prompt libraries
8. product testing frameworks
9. data analysis
10. project coordination

Entry-level: suitable for early-career candidates or students. Some prior internship, project-based or coursework experience in product design, project support, data analysis or building AI agents is expected.

Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, HCI, Business Analytics or a related field.

The Maison fosters a culture that blends traditional craftsmanship with technological innovation. Teams operate in a collaborative, high-expectation environment that values creativity, cross-disciplinary learning and professional development within the LVMH ecosystem.