Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. 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 across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. Learn more about our culture here. About the job The Applied AI for Critical and Sovereign Institutions team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence. Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners. Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact. What you will do • Individually deploy AI solutions into production for use cases with significant operational an