Jobs at Mistral AI

As an Associate AI Deployment Strategist, you'll support the adoption of Mistral's AI solutions by designing roadmaps, collaborating with teams, and aiding customer success in a client-facing role.

Drive the adoption of Mistral's AI platform, support partners, manage deployments, and ensure customer satisfaction through technical assistance and partnerships.

Develop state-of-the-art AI models in text, image, and speech modalities. Manage research projects and collaborate with teams to deliver impactful AI solutions.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

Responsible for defining and executing the documentation strategy, managing the technical writing team, and ensuring high-quality documentation for diverse users.

Define and execute a documentation strategy as a Lead Senior Technical Writer, managing a team, ensuring content quality, and collaborating with engineering and product teams.

As an Enterprise Sales Executive, you'll drive large customer engagements, manage deals from outreach to closing, and cultivate executive relationships while working with technical teams on implementations.

The product manager will define and execute strategy for Document AI, focusing on user engagement, market research, product development, and collaboration across teams to drive successful product launches.

Lead and supervise the EMEA commercial legal team; draft, update and negotiate AI-related and commercial contracts; develop contracting resources; translate AI regulatory and product changes into contractual adaptations; provide training and legal guidance to business stakeholders; escalate and support decision-making on complex commercial legal matters.

The Applied Scientist will develop and deploy AI Physics Models, manage simulation campaigns, train models, and collaborate with engineering teams on AI solutions.

The Research Engineer will build and scale data infrastructure, architect multi-cluster orchestration, and enhance storage systems for AI training platforms.

Lead the design of Mistral's documentation, enhancing usability and clarity through cross-functional collaboration, innovative UI/UX, and user-centric approaches to complex concepts.

As a DevOps/Platform Engineer, you will design and implement systems, optimize data pipelines, and collaborate with researchers to enhance productivity.

Design end-to-end user experiences for cloud and infrastructure products, focusing on usability for developers and AI workflows while collaborating with engineering and product teams.

The Code Data Quality Specialist reviews code annotations for AI model training, maintains internal tooling, and troubleshoots issues while ensuring high-quality data production.

The Talent Acquisition role involves partnering with hiring managers to find top talent, improving recruitment processes, and managing candidate experiences in a competitive market.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

Run offensive security engagements for clients and Mistral: scope, execute tooling, triage findings, advise on remediation, pentest internal systems, hunt vulnerabilities in the wild, and guide development of AI-powered offensive tooling and benchmarks.

Build and deploy client-facing agentic cybersecurity solutions: compose red-team/blue-team workflows, configure harnesses for cloud defense, vulnerability scanning and pen-testing, design context engineering and multi-agent orchestration, turn prototypes into production services, iterate with client feedback, and collaborate with pentesters and SWE-Cyber for accuracy and platform support.

Design, build, and operate scalable, highly available cloud infrastructure for customer-facing APIs and large model training. Implement automation, CI/CD, container orchestration, monitoring, incident response and on-call duties. Collaborate with engineers on reproducible model training, security, documentation, and tooling; contribute to open-source and reliability improvements.