Rolex Generative AI Software Intern

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.

1. Analyse business needs and acquire a nuanced understanding of the luxury watchmaking sector to identify suitable AI use cases.
2. Design, develop and test proof‑of‑concepts leveraging large language models and generative AI technologies.
3. Collaborate with cross‑functional teams to prototype and integrate AI solutions into existing processes and workflows.
4. Synthesize and present technical results, insights and evidence‑based recommendations to stakeholders.
5. Conduct continuous technology watch to remain abreast of advances and best practices in generative AI and LLM deployment.

1. Currently enrolled in a Master’s programme in Data Science, Computer Science, or a closely related field.
2. Solid knowledge of artificial intelligence concepts, preferably with a focus on generative AI and large language models.
3. Proven programming proficiency in React, Node.js and Python.
4. Familiarity with LLM concepts and architectures (references to MCP and A2A workflows).
5. Prior experience building and validating proof‑of‑concepts for applied AI projects.
6. Strong analytical aptitude, adaptability and an appetite for rapid learning.
7. Excellent interpersonal skills and a collaborative mindset; curious and proactive in team environments.

1. React
2. Node.js
3. Python
4. large language models
5. generative AI
6. MCP
7. A2A
8. proof of concept development

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.

Enrolment in a Master’s degree programme in Data Science, Computer Science or equivalent.

Access to state‑of‑the‑art equipment, excellent working conditions and first‑class social benefits (as stated by the employer).

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.