About this role
Role Overview
The AI Deployment Strategist, Science role at Mistral AI is a full-time position based in Paris, focusing on driving the adoption and deployment of advanced artificial intelligence solutions for science-heavy projects. This position suits professionals with a strong scientific background and client-facing technical expertise who want to bridge the gap between complex research and real-world production implementations in domains like robotics and computer vision.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
Mistral AI provides a comprehensive benefits package structured to support personal well-being, professional growth, and work-life balance. Available benefits vary by country and may include health coverage, parental leave, retirement plans, wellness initiatives, relocation support, and local transportation or meal allowances.
About the Company
Mistral AI delivers full-stack artificial intelligence solutions ranging from frontier models and developer tools to custom applications and compute power. The enterprise partners with organizations across high-stakes industries such as healthcare, defense, finance, manufacturing, and the public sector. Operating with a distributed, collaborative, and low-ego team culture, Mistral AI enables organizations to run customized artificial intelligence systems entirely on their own terms.
How to Apply
Interested candidates should visit the official Mistral AI careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based in Paris, France, with required travel ranging from 30% to 60% for client relationship management and on-site deployment support.
What level of experience is required?
Candidates must have at least 2 years of experience in a client-facing technical role, such as research engineering, technical sales, or data science consulting.
What educational background is expected?
Applicants must hold a degree in a scientific field such as Computer Science, Mathematics, Physics, or Robotics, with a PhD considered a strong plus.
What technical skills are necessary for the role?
The role requires hands-on experience building and deploying AI applications in science domains using languages like Python or C++, alongside deep knowledge of computer vision, robotics, or embodied AI.
What does the hiring process look like?
The evaluation process includes a talent acquisition screening call, a 30-minute hiring manager interview, a 45-minute business acumen interview, a 60-minute technical deep dive on LLMs, a panel presentation with home prep, a 30-minute value talk, and reference checks.