About this role
Mistral AI is seeking a full-time AI Deployment Strategist to join the Solutions team in Munich. This position suits a client-facing professional with a background in data science consulting, technical sales, or value engineering who wants to drive enterprise artificial intelligence adoption.
Role Overview
The AI Deployment Strategist role sits at the intersection of business strategy, hands-on deployment, and artificial intelligence innovation. In this Munich-based position, the professional guides enterprise customers from initial strategic vision all the way to production implementation. Responsibilities include partnering with senior executives to design artificial intelligence roadmaps, collaborating with the Applied AI team to deliver production-ready solutions, and ensuring smooth transitions from presales to postsales.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Mistral AI delivers full-stack solutions ranging from frontier models to developer tools, applications, and compute. The enterprise partners with organizations tackling complex challenges across high-stakes industries like finance, healthcare, manufacturing, defense, and the public sector. Operating as a dynamic, collaborative team distributed across multiple regions, the organization values creativity, low-ego collaboration, and a passion for societal transformation through technology.
How to Apply
Interested candidates should visit the official Mistral AI careers page to submit an application and learn more about the hiring process.
Skills and tech stack
Questions candidates ask
Where is this job located?
This full-time position is based in Munich, Germany, with expected travel between 30% and 60% of the time.
How many years of experience are required?
Candidates must have at least 2 years of experience in a client-facing strategic and technical role.
What programming languages are mentioned for this role?
Python and JavaScript are listed as the hands-on technologies for building and deploying applications.
What educational background is required?
Applicants must hold a degree in a relevant scientific field such as Computer Science, Data Science, or Engineering.
What does the hiring process involve?
The process includes a talent acquisition screening call, a hiring manager interview, a business acumen interview, a technical deep dive on large language models, a panel assessment, a value talk, and a reference check.