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Mistral AI

Open-weight LLMs and enterprise AI deployment

AI Deployment Strategist - Science

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years in a client-facing technical role, such as data science consulting, research engineering, or technical sales, with a strong background in AI science domains such as computer vision, robotics, or embodied AI.
  • A degree in a scientific field, such as Computer Science, Robotics, Physics, or Mathematics; a PhD is a plus.
  • Deep technical knowledge of artificial intelligence, machine learning, and data science, with specialization in science domains, and credibility advising highly technical audiences.
  • Hands-on experience building and deploying science-focused AI applications using Python, C++, or a similar language.
  • Strong business acumen and problem-solving skills, including the ability to translate complex technical concepts into business value.
  • Executive presence and communication skills to influence senior stakeholders on technically advanced solutions.
  • Resilience, results orientation, and comfort leading through influence in a highly technical, collaborative environment.

Responsibilities

  • Lead executive-level workshops to identify science-specific business challenges and opportunities where AI can drive improvements in vision, robotics, embodied AI, and other specialized domains.
  • Co-create AI adoption roadmaps with customers, explaining potential science applications and a clear path to value.
  • Collaborate with Account Executives to develop business cases for technically complex, science-driven solutions, quantify return on investment, and align with customer objectives.
  • Architect end-to-end AI solutions for specialized domains, integrating the company's models and platform into science-specific workflows and technical infrastructure.
  • Partner with Applied AI and Research teams to design, prototype, and deploy science-focused AI solutions in production, ensuring scalability and impact.
  • Own the execution of science-heavy pilot projects and proofs of value, demonstrating the technology's potential in specialized domains and paving the way for full-scale deployment.
  • Advise customers on science-driven AI strategies and help them maximize the value of their investment in specialized capabilities.
  • Monitor key performance indicators tied to technical and business outcomes in science domains and communicate progress to executive sponsors.
  • Identify expansion opportunities within accounts for science applications, building on initial successes to drive long-term partnerships.
  • Bridge customers and Research and Applied AI teams, synthesizing feedback to influence science-focused product and research roadmaps.
  • Develop reusable assets, best practices, and playbooks for science-domain deployments to scale go-to-market efforts.
  • Travel approximately 30–60% to foster client relationships and support on-site deployment of specialized solutions.

Desired Qualifications

  • Experience with research-to-production transitions and working with research teams.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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