- Location
- Paris Île-de-France France
- Employment
- Full-Time
- Seniority
- Lead
- Department
- IT & Technology Systems
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- Oct 7, 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.
Louis Vuitton is seeking a DevOps and AI Tech Lead to lead AI adoption for software engineering and help shape DevOps and AI solutions across the Maison. The role sits within the Application Automation team in LV_NEO’s ITES department and is a full-time, permanent position based in Paris, with hybrid working.
Role & Responsibilities
- Lead the AI for Dev community of experts and partners, establishing a practical, secure and measurable framework for integrating DevOps and AI to improve delivery quality, flow and speed.
- Contribute to the vision, architecture and roadmap for DevOps solutions in cooperation with the DevOps squad Product Owner.
- Define the vision, architecture and roadmap for AI solutions dedicated to software engineering in cooperation with LVMH Group AI teams.
- Serve as the point of contact for AI for Dev topics with LVMH Group.
- Identify, select and implement AI tools to accelerate the delivery cycle from ideation to production.
- Develop practical use cases for development assistance, code generation and review, testing, documentation, incident analysis, pipeline automation and continuous improvement.
- Support IT project teams in adopting AI in their daily work, taking their contexts, maturity and constraints into account.
- Design and lead training sessions, practical workshops, demonstrations, coaching sessions and communities of practice.
- Create learning paths, guides, standards, prompt templates, skills, harnesses and reusable agents for teams.
- Oversee experimentation and its scaling while ensuring security, confidentiality, compliance, quality and cost-control requirements are met.
- Define and track adoption and delivery-impact metrics, including cycle time, quality, reliability, team satisfaction and value delivered.
- Contribute to the creation, maintenance and review of technical and architecture documentation (HLD, LLD).
- Provide Level 3 support for solutions and contribute to their operability in production.
- Serve as the primary AI point of contact for ITES teams, projects and partners.
- Monitor practices, solutions and regulatory developments related to AI and automation.
Qualifications
- At least five years of experience in software engineering, DevOps or architecture, with concrete achievements in AI adoption among IT teams.
- Master’s-level degree (Bac+5) from an engineering school or equivalent university.
- Strong command of coding assistants, language models, prompt engineering, skills and agents, with solid software engineering foundations across design, development, testing, security, documentation and lifecycle management.
- Recognized expertise in DevOps and CI/CD, including GitHub, GitHub Actions and Jenkins, from prototyping through industrialization and operations in delivery pipelines.
- Good understanding of security, confidentiality, intellectual property, traceability and responsible AI use.
- Proficiency in agile methods, change management and value measurement.
- Experience managing highly critical infrastructure and platforms in production.
- Strong ability to teach, demonstrate leadership and bring teams together.
- Excellent skills in explaining technical concepts clearly, delivering demonstrations and facilitating practical workshops.
- Fluent spoken and written French and English.
- Interest in the luxury sector and its associated competencies: excellence, rigor, attention to detail and creativity.
Skills
Experience
At least five years in software engineering, DevOps or architecture, complemented by concrete achievements in AI adoption among IT teams.
Education
Master’s-level degree (Bac+5) from an engineering school or equivalent university.
Workplace
This position is based in Paris, Île-de-France, France.
Explore jobs in Île-de-France or in France.
Benefits
Personalized HR support throughout the career.
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
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 «DevOps and AI Engineering Lead», «AI for DevOps Lead», «DevOps Automation Lead», «Software Engineering AI Lead», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.
