AI Deployment Strategist, Science - Emea

Mistral AI Mistral AI · AI Frontier · Paris, France · Solutions

This role focuses on driving the adoption and deployment of AI solutions for science-heavy projects, working closely with customers from strategic vision to production implementation in domains like computer vision, robotics, and embodied AI. It involves architecting end-to-end AI solutions, partnering with Applied AI and Research teams, and ensuring value realization in specialized AI applications.

What you'd actually do

  1. Lead executive-level workshops to identify science-specific business challenges and opportunities where Mistral's AI can drive step-change improvements in vision, robotics, embodied AI, and other specialized domains.
  2. Architect end-to-end AI solutions for specialized domains, integrating Mistral's models and platform into science-specific workflows and technical infrastructure.
  3. Partner with the Applied AI and Research teams to design, prototype, and deploy science-focused AI solutions in production, ensuring scalability and impact.
  4. Own the execution of science-heavy pilot projects and proofs-of-value, demonstrating the potential of our technology in specialized domains and paving the way for full-scale deployment.
  5. Act as the bridge between customers and Mistral's Research and Applied AI teams, synthesizing feedback to influence science-focused product and research roadmaps.

Skills

Required

  • 2+ years in a client-facing technical role
  • strong background in AI science domains (computer vision, robotics, embodied AI, etc.)
  • degree in a scientific field (e.g., Computer Science, Robotics, Physics, Mathematics)
  • Deep technical knowledge of AI/ML/Data Science with specialization in science domains
  • credibility to advise highly technical audiences
  • Hands-on experience building and deploying science-focused AI applications (Python, C++, or similar) to demonstrate value in specialized domains
  • Strong business acumen and problem-solving skills
  • translate complex technical concepts into business value
  • Executive presence and communication skills to influence senior stakeholders (VP, C-level) on technically advanced solutions
  • Hands-on experience building and deploying AI applications (Python) in science domains
  • Resilient, results-driven
  • comfortable leading through influence in a highly technical, collaborative environment

Nice to have

  • PhD is a plus
  • Experience with research-to-production transitions and working with research teams is a plus

What the JD emphasized

  • science-heavy projects
  • computer vision, robotics, and embodied AI
  • deep technical expertise
  • science-driven use cases
  • science-specific business challenges
  • science applications
  • science-focused AI solutions
  • science-heavy pilot projects
  • science-driven AI strategies
  • science domain deployments
  • science domains
  • science domains
  • science domains
  • science domains

Other signals

  • customer-facing technical role
  • AI science domains
  • deploying AI solutions
  • science-heavy projects