Generative AI Software Intern
Rolex in Geneva seeks a Generative AI Software Intern to develop LLM‑based POCs, integrate AI solutions and support innovation in luxury watchmaking.
Overview
Rolex is a prestigious Swiss watch manufacturer celebrated for precision, technical excellence and enduring craftsmanship. As an independent luxury house, the brand combines traditional horological expertise with selective technological innovation, offering a disciplined, quality-driven workplace that invests in employee training and professional development.
Role & Responsibilities
- Analyse business needs and acquire a nuanced understanding of the luxury watchmaking sector to identify suitable AI use cases.
- Design, develop and test proof‑of‑concepts leveraging large language models and generative AI technologies.
- Collaborate with cross‑functional teams to prototype and integrate AI solutions into existing processes and workflows.
- Synthesize and present technical results, insights and evidence‑based recommendations to stakeholders.
- Conduct continuous technology watch to remain abreast of advances and best practices in generative AI and LLM deployment.
Qualifications
- Currently enrolled in a Master’s programme in Data Science, Computer Science, or a closely related field.
- Solid knowledge of artificial intelligence concepts, preferably with a focus on generative AI and large language models.
- Proven programming proficiency in React, Node.js and Python.
- Familiarity with LLM concepts and architectures (references to MCP and A2A workflows).
- Prior experience building and validating proof‑of‑concepts for applied AI projects.
- Strong analytical aptitude, adaptability and an appetite for rapid learning.
- Excellent interpersonal skills and a collaborative mindset; curious and proactive in team environments.
Skills
Experience
Practical experience developing proof‑of‑concepts or prototypes in AI/ML contexts, ideally involving LLMs or generative models. Internship experience or project work demonstrating end‑to‑end development (data, modelling, integration) is highly desirable.
Education
Enrolment in a Master’s degree programme in Data Science, Computer Science or equivalent.
Benefits
Access to state‑of‑the‑art equipment, excellent working conditions and first‑class social benefits (as stated by the employer).
Culture
Rolex fosters a culture of technical excellence, discretion and meticulous attention to detail rooted in traditional horology. The workplace values craftsmanship, ongoing professional training and collaborative problem solving, offering a structured environment for technical development.