AI Science Deployment Strategist: Vision to Production

Mistral

Paris

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Healthcare coverage
Relocation support
Wellness programs
Meal and transportation allowances

Job summary

Mistral is seeking an AI Deployment Strategist with a science focus to drive adoption and deployment of its AI solutions for science-heavy projects, collaborating with customers from strategic vision to production.

You will work with senior executives to design AI roadmaps for science use cases and deliver production deployments with the Applied AI and Research teams, ensuring smooth transitions from presales to postsales.

Qualifications

  • 2+ years in a client-facing technical role with AI science domain background.
  • Degree in a scientific field (CS, robotics, physics, mathematics); PhD a plus.
  • Deep technical knowledge of AI/ML/Data Science with science-domain specialization.
  • Hands-on experience building and deploying science-focused AI applications (Python, C++ or similar).
  • Strong business acumen and ability to translate complex technical concepts into business value.
  • Executive presence to influence senior stakeholders on technically advanced solutions.

Responsibilities

  • Lead executive-level workshops to identify science-specific challenges and opportunities.
  • Co-create AI adoption roadmaps with customers and articulate paths to value.
  • Architect end-to-end AI solutions for science domains and ensure production readiness.
  • Collaborate with Applied AI and Research teams to deploy science-focused solutions.

Skills

Client-facing
AI/ML domain knowledge
Executive presence
Business acumen
Strong communication

Education

Scientific field degree

Tools

Python
C++

Job description

Mistral is seeking an AI Deployment Strategist with a science focus to drive adoption and deployment of its AI solutions for science-heavy projects, collaborating with customers from strategic vision to production.

You will work with senior executives to design AI roadmaps for science use cases and deliver production deployments with the Applied AI and Research teams, ensuring smooth transitions from presales to postsales.

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