Rolex AI Agents Intern
- Location
- GenevaGenevaSwitzerland
- Employment
- Internship
- Seniority
- Intern
- Department
- IT & Technology Systems
- Industry
- Fine Watches & Horology
- Posted
- Sep 25, 2026
About Rolex
Rolex is a benchmark of Swiss watchmaking excellence, renowned for precision, enduring design and uncompromising craftsmanship. As an employer, the Maison offers a culture shaped by mastery, discretion and long-term commitment, where engineers, artisans, designers and corporate specialists contribute to products built to transcend generations. Its Geneva-based heritage is matched by a global outlook, rigorous standards and significant investment in training, innovation and responsible excellence. Employees join an institution that values technical depth, collaborative discipline and meticulous attention to detail, offering the opportunity to advance within one of the world’s most respected luxury brands.
Rolex seeks an AI Agents Intern in Geneva to design proof-of-concept artificial intelligence solutions for industrialization within the Information Systems division.
Role & Responsibilities
- Design and develop proof-of-concept AI agents addressing concrete business use cases and requirements
- Identify and prototype artificial intelligence agents to accelerate enterprise resource planning (ERP) and advanced planning and scheduling (APS) activities
- Evaluate feasibility, potential gains, and pertinence of developed solutions
- Document functional and technical specifications for subsequent industrialization
- Test, validate, and clearly present project results and findings to the team
Qualifications
- Currently enrolled in a Master's degree in Computer Science or equivalent
- Demonstrated interest and knowledge in Generative AI and intelligent agents
- Concrete hands-on experience with AI agents through personal or academic projects (custom agent creation, cloud-based agents, multi-agent orchestration, API integration, or data source connections)
- Foundational development skills, particularly in Python or languages suited to AI frameworks
- Knowledge of large language models, LangChain, and agent orchestration
- Strong written and verbal communication skills
- Team-oriented with demonstrated autonomy
Skills
Experience
Concrete experimental experience with AI agents in the context of personal or academic projects, including creation of custom agents, deployment of cloud-based agents, orchestration of multiple agents with API or data source connections. Foundational understanding of enterprise resource planning systems and advanced planning and scheduling software represents a significant advantage.
Education
Currently pursuing a Master's degree in Computer Science or equivalent qualification.
Workplace
This position is based in Geneva, Geneva, Switzerland.
Culture
Rolex fosters a workplace culture defined by precision, excellence, and a deep respect for craftsmanship. As an employer, the company offers a disciplined yet collaborative environment where long-term thinking, continuous improvement, and attention to detail guide every aspect of work.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Rolex, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Generative AI Intern», «AI Development Intern», «Artificial Intelligence Trainee», «Machine Learning Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.