Richemont AI Engineer

About Richemont

Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.

Role & Responsibilities

• Manage, monitor and enhance AI solutions and IT processes, including change, release and incident management, ensuring production AI applications remain reliable, scalable, secure and effective.
• Oversee and deliver digital programs and initiatives using agile and design-thinking methodologies; contribute across the AI engineering lifecycle from experimentation and solution design to production deployment, and introduce AI-native practices such as rapid iteration, reusable building blocks, automation and continuous evaluation.
• Document current and future processes and the changes required to reach the target state; identify workflow improvements enabled by AI and define how new capabilities should be integrated.
• Gather business requirements through interviews, document analysis, workshops and workflow analysis, framing them around user roles and objectives; translate business and user needs into technical requirements, solution designs and measurable success criteria.
• Develop and execute projects or workstreams within change management initiatives, working with business, product, data and technology stakeholders to support responsible introduction and adoption of AI capabilities.
• Plan and manage small projects or workstreams using suitable project management methodologies to achieve intended outcomes.
• Design and conduct tests for website and application software; respond to user emails to monitor, diagnose and resolve performance issues. Define and apply AI evaluation approaches covering output quality, accuracy, safety, latency and reliability, and use findings to drive continuous improvement.
• Implement development plans for products or services, manage project schedules, identify risks and communicate with stakeholders; build AI solutions from prototype to production, applying versioning, deployment, monitoring and continuous improvement practices.
• Administer budgets for organizational areas or conduct complex budget analyses to track progress and recommend improvements.
• Conduct cost analyses for significant business segments to identify variances, recommend efficiencies and enhance profitability; monitor infrastructure, model and AI service costs, balancing performance, scalability and cost in engineering decisions.
• Strengthen professional capabilities through assessment and development planning, training and coaching, and pursue or maintain relevant external professional accreditation.
• Continuously develop AI and software engineering capabilities as technologies and practices evolve.
• Maintain knowledge of technology, external regulations and industry best practices through continuing education, conferences and specialist media; assess emerging AI models, frameworks and engineering approaches and apply them where they offer clear business or technical value.

Qualifications

• Bachelor’s degree or equivalent, ideally in Computer Science, Engineering, Data Science, AI or a related field.
• Hands-on experience designing, developing and deploying AI/ML solutions from experimentation through production.
• Strong expertise in Generative AI and Predictive AI, including LLMs, machine learning and modern AI development frameworks.
• Strong programming skills in Python and SQL, with hands-on experience in cloud environments, APIs and MLOps practices.
• Curiosity and a hands-on approach, with a genuine passion for GenAI, emerging technologies and continuous experimentation.
• Strong engineering and problem-solving mindset, focused on building reliable, scalable and responsible AI solutions.
• Experience enabling the job holder to handle most situations and advise others.

Skills

Experience

Proven hands-on experience designing, developing and deploying AI/ML solutions from experimentation to production; experience enabling the job holder to handle most situations and advise others.

Education

Bachelor’s degree or equivalent, ideally in Computer Science, Engineering, Data Science, AI or a related field.

Culture

Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.

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.