Senior AI Software Engineer

LVMH Tech – Enterprise Architecture & Data Tech LVMH Tech’s Enterprise Architecture & Data Tech team is growing, and we are looking for a Senior AI Software Engineer to help shape and scale Data & AI solutions across the Group. About LVMH LVMH (Moët Hennessy Louis Vuitton) is the world’s leading luxury group, bringing together more than 75 exceptional Maisons across fashion, leather goods, perfumes, cosmetics, watches, jewelry, wines, and spirits.

With teams and offices around the world, LVMH supports its Maisons through shared expertise in areas such as technology, data, and digital transformation. At Group level, our mission is to empower the Maisons with the platforms, assets, standards, and guidance they need to accelerate innovation and create value at scale. About the Team The Enterprise Architecture & Data Tech team helps accelerate the adoption of Data & AI across LVMH’s Maisons. We support brands throughout the Group by providing reusable tools, frameworks, best practices, and expert guidance.

Our ambition is to raise Data & AI maturity across LVMH by helping teams deliver impactful projects faster, share what works, and benefit from the collective intelligence of the Group. The Role As a Senior AI Software Engineer , you will be a key contributor within the squad, designing and building technical solutions that support our products and AI initiatives. You will work closely with Product Owners and the team to understand business needs, translate them into technical approaches, estimate and structure delivery, and build robust, scalable features.

You will also contribute to reusable frameworks, architectures, and assets that can be adopted easily by the Maisons, supported by clear documentation, tutorials, and guidelines. This role is ideal for someone who enjoys combining strong software engineering fundamentals with modern AI capabilities, and who wants to create solutions with impact across a global organization.

What You Will Do - Design and deliver product features and technical improvements aligned with user needs and product priorities. - Translate user stories into clear technical strategies, broken down into independent, testable, and well-estimated tasks. - Build scalable, maintainable, and well-documented architectures, services, and codebases. - Contribute to frameworks, reusable assets, and technical patterns that can be shared across the Maisons. - Help define, apply, and continuously improve development quality standards. - Collaborate closely with the team in an agile environment, sharing

progress, challenges, feedback, and learnings openly. - Take ownership of product performance, delivery quality, and long-term maintainability. - Support the adoption of AI engineering practices, including LLM-based use cases, RAG, and embeddings where relevant.

What We’re Looking For 5+ years of experience in software engineering, ideally in an agile environment. Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field. Strong experience in software engineering and architecture, including common design patterns. Experience with cloud-based infrastructure, deployment, and hosting architectures. Strong coding skills, especially in Python, SQL, and Terraform. Experience with Docker and containerized applications. Good understanding of API design and documentation.

Familiarity with Google Cloud, especially services such as BigQuery, Cloud Run, and Pub/Sub. Experience or strong interest in AI engineering topics, including RAG, embeddings, and LLM usage. Ability to evaluate technologies pragmatically and choose the right solution for the context. A data-driven, solution-oriented mindset with strong attention to usability and adoption. How You

Work We would especially value someone who: Communicates clearly, both in writing and verbally. Works well in collaborative, cross-functional teams. Gives and receives feedback constructively. Brings a strong sense of ownership and accountability. Balances technical excellence with pragmatism. Is curious, humble, and motivated by continuous learning. Enjoys building solutions that are useful, understandable, and easy for others to adopt. In Short You may be a great fit if you bring: Software engineering expertise in backend development, architecture, cloud, APIs, and infrastructure.

AI/ML exposure with practical knowledge of LLMs, RAG, and embeddings. Agile collaboration skills and the ability to work effectively in a Scrum environment. Product and delivery ownership, from technical design to maintainable implementation. A team-oriented and inclusive mindset, with a focus on shared success. Why Join Us Joining LVMH Tech means contributing to high-impact Data & AI initiatives in a unique global environment.

You will work on meaningful challenges, help shape reusable solutions for a diverse portfolio of Maisons, and collaborate with teams that value excellence, knowledge sharing, and long-term impact. LVMH is committed to creating an inclusive workplace where diverse perspectives, backgrounds, and experiences are valued. If you’re excited about this role, we encourage you to apply.

As part of the LVMH LIFE360 program aimed at reducing LVMH's ecological impact, which includes a Green IT vertical, candidates should demonstrate a keen interest in environmental issues related to Green IT and be eager to be trained and to implement associated best practices.

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