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Location
In office (Paris)
Seniority
Architect
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Mistral AI scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mistral AI is a French artificial intelligence company founded in Paris in 2023 by former researchers from Google DeepMind and Meta. It builds efficient open-weight and commercial large language models, including the Mistral, Mixtral, Magistral and Codestral families, and distributes them through its own developer platform as well as the major cloud marketplaces. Positioned as Europe's leading frontier model developer, the company also ships the Le Chat assistant, on-premise deployment options for regulated industries and a sovereign compute offering for customers who must keep data inside the region.

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As the Vice President of our Production Platform organization, you will own how reliably Mistral runs in production and how fast every Mistral engineer ships. This role combines deep infrastructure expertise with organizational leadership to build a platform that scales ahead of the company.

Production Platform brings together around 55 engineers across site reliability, deployment, build and CI, and our internal service framework, led by strong team leads. Every deploy and every model release goes through this organization, from our own cloud to the major hyperscalers, private clouds and our customers’ on-premise environments.

You will set the strategy for the organization, grow its leaders and shape the organization as it scales. The role is key to the reliability of our products, the velocity of our engineering and research teams, and our ability to deliver Mistral wherever our customers need it.

What You Will Do

  • Lead the Production Platform organization through its Engineering Managers, and grow them as leaders.

  • Set the strategy and roadmap for reliability, deployment, build and CI, and the internal service framework.

  • Own the reliability of our production environment: SLOs, on-call, incident management and capacity.

  • Make delivery to every environment, from SaaS to private cloud and on-premise, as simple and dependable as a single deploy.

  • Raise engineering velocity across the company with fast, trusted CI and safe deployments by default.

  • Give product teams strong defaults and the ownership of their own services and tests.

  • Design the organization as it scales: structure, hiring, on-call models and processes.

  • Contribute to architecture and the hard technical decisions, staying close to the systems.

  • Partner with Product Engineering, Research and our enterprise teams to align the platform with their needs.

  • Define and track the metrics that matter: reliability, delivery speed and developer experience.

What We're Looking For

  • Deep background in infrastructure, site reliability or production engineering, starting as a hands-on engineer.

  • Experience leading leaders: managing managers and growing strong team leads.

  • Experience scaling an infrastructure or platform organization through fast growth.

  • Track record of running production systems at scale, with measurable results on reliability or delivery speed.

  • Ability to set strategy in an ambiguous scope and turn it into execution.

  • Strong technical judgment in distributed systems, Kubernetes, cloud infrastructure and CI/CD.

  • Experience delivering software into customer environments (on-premise, private cloud, air-gapped) is a strong plus.

  • Experience with AI infrastructure, such as model serving or GPU platforms, is a plus.

  • Low ego, at ease with constant change, and driven by results.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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