Louis Vuitton AI Platforms and Expertise Manager

Employment
Full-Time
Seniority
Senior
Posted
Sep 16, 2026

About Louis Vuitton

Founded in Paris in 1854, Louis Vuitton stands among the world’s most emblematic luxury maisons, renowned for exceptional craftsmanship, innovation, and the art of travel. As an employer, the Maison offers a distinctive environment where heritage and modernity meet, inviting talents to contribute to a global culture of excellence across retail, design, craftsmanship, client experience, operations, and corporate functions. Louis Vuitton values curiosity, precision, creativity, and entrepreneurial spirit, supporting employees through international opportunities, learning pathways, and a strong commitment to savoir-faire. Its teams are united by a shared ambition to craft enduring desirability and deliver exceptional experiences worldwide.

AI Platforms and Expertise Manager at Louis Vuitton, Paris. Lead AI infrastructure and platforms strategy for the luxury maison. Full-time permanent role.

Role & Responsibilities

  • Define and execute the strategic evolution of AI platforms in alignment with business requirements, LVMH group roadmap, and architectural blueprint
  • Administer, upgrade, and ensure high availability of Dataiku, Google Vertex AI/Gemini Enterprise Agent Platform, Copilot Studio, and integrated emerging technologies
  • Validate technical architectures for all AI solutions, enforcing standards for performance, security, scalability, and maintainability
  • Establish and maintain development environments for project initialization and ensure compliance with enterprise governance frameworks
  • Guide AI Engineers and ML Engineers through architectural reviews, complex problem resolution, and technical decision-making
  • Develop and disseminate reusable assets, frameworks, and accelerators; capture and institutionalize lessons learned across projects
  • Conduct continuous technology surveillance in AI, generative AI, agentic systems, and associated platforms
  • Define, maintain, and evolve MLOps, LLMOps, and AgentOps practices across the organization
  • Establish development, deployment, supervision, and operations standards for all AI solutions
  • Design and implement CI/CD workflows tailored to AI solutions and platform-specific requirements
  • Ensure consistency of practices across all development teams and geographic locations
  • Manage vendor and technology partner relationships to optimize platform performance and innovation
  • Define operational models for AI platform utilization and clarify responsibilities among stakeholder populations
  • Establish governance, security, and compliance frameworks specific to AI platform infrastructure

Qualifications

  • Engineering degree or equivalent five-year university degree in computer science, artificial intelligence, or data science
  • Minimum 10 years of professional experience in Data, Machine Learning, or Artificial Intelligence domains
  • Demonstrated expertise in architecture, technical leadership, or subject matter expertise roles
  • Mastery of Google Cloud Platform (Vertex AI / Gemini Enterprise)
  • Advanced proficiency with Dataiku and enterprise machine learning platforms
  • Expert-level understanding of MLOps, LLMOps, and AgentOps practices
  • Deep knowledge of generative AI architectures including retrieval-augmented generation (RAG), agentic orchestration, and model deployment patterns
  • Proven proficiency with CI/CD practices adapted for AI solutions
  • Solid architectural knowledge encompassing software design principles, security, scalability, and performance optimization
  • Recognized leadership capabilities and demonstrated aptitude for team coordination
  • Fluency in both English and French, spoken and written
  • Demonstrated sensitivity to the luxury sector's values: excellence, precision, attention to detail, and creative vision

Skills

Google Cloud Platform (GCP) Vertex AI Gemini Enterprise Agent Platform Dataiku MLOps LLMOps AgentOps Retrieval-Augmented Generation (RAG) CI/CD Cloud architecture AI infrastructure management Generative AI systems Enterprise software architecture Technical leadership Security and compliance frameworks

Experience

Minimum 10 years of professional experience in Data, Machine Learning, or Artificial Intelligence, with several years in roles focused on architecture, technical leadership, or subject matter expertise. Extensive background with enterprise cloud platforms, particularly Google Cloud Platform. Demonstrated success managing complex AI infrastructure at scale and leading cross-functional technical teams.

Education

Engineering degree or equivalent five-year university degree (Bac+5) in computer science, artificial intelligence, data science, or related discipline.

Workplace

The role is situated in Paris, Île-de-France, France.

Culture

Louis Vuitton fosters a culture rooted in heritage, craftsmanship, and a relentless pursuit of excellence, where employees contribute to one of the world’s most iconic luxury maisons. Its workplace environment combines creativity, precision, and international collaboration, offering teams the opportunity to grow within a brand that values innovation, client experience, and long-term savoir-faire.

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

A.

The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Louis Vuitton, 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 «AI Platform Architect», «AI Infrastructure Manager», «Machine Learning Platform Lead», «AI Operations Director», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.

Louis Vuitton

Louis Vuitton AI Platforms and Expertise Manager

Paris, France

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