AI Lead

Overview

Richemont is a leading global luxury goods group comprising maisons renowned for jewellery, watches, leather goods and fashion. The group combines deep heritage and artisanal craftsmanship with ongoing investment in digital transformation, data-driven client experiences and technology-enabled retail, offering a multinational, brand-driven working environment.

Role & Responsibilities

• Define and drive a cross-brand AI strategy that translates business priorities (client experience, merchandising, marketing, supply chain) into deliverable ML roadmaps.
• Architect, build and operationalize production-grade machine learning and generative AI solutions, including LLM-based applications for personalization, content generation and search.
• Lead, recruit and mentor a multidisciplinary AI team (data scientists, ML engineers, MLOps) and coordinate with data engineering, product and IT stakeholders.
• Establish MLOps best practices: CI/CD for models, model monitoring, versioning, reproducibility and scalable deployment (cloud and on-prem as required).
• Own model governance, performance metrics, risk assessment, data privacy compliance and documentation to meet regulatory and group-wide standards.
• Partner withブランド (brand) teams and commercial leaders to prototype pilots, quantify ROI and scale proven AI solutions across maisons.
• Manage external vendor relationships and evaluate third-party models, platforms and research partnerships to accelerate capability building.

Qualifications

• Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Data Science or a closely related field, or equivalent practical experience.
• Proven leadership experience managing AI/ML teams and delivering production ML systems across multiple products or business units.
• Deep technical expertise in modern ML paradigms, including deep learning, natural language processing and large language models.
• Solid understanding of MLOps, model lifecycle management, data governance and compliance obligations (e.g., data privacy).
• Excellent stakeholder management and communication skills; able to translate technical trade-offs into business decisions.

Skills

Experience

Typically 7+ years of professional experience in machine learning or AI, with at least 3 years in a leadership role responsible for teams and delivery of production-grade ML/AI systems; experience in retail, luxury or customer-facing businesses is an advantage.

Education

Master's or PhD in Computer Science, Machine Learning, Data Science or a related discipline, or equivalent professional experience.

Culture

Richemont combines a respect for artisanal heritage with a progressive approach to technology and digital innovation. The workplace emphasizes collaboration across distinct maisons, high standards of craftsmanship, and opportunities to shape cross-brand initiatives in a global, culturally diverse environment.