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Mistral AI

Open-weight LLMs and enterprise AI deployment

AI Deployment Strategist - Defense

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listed

About the Job

Requirements

  • At least 2 years of experience in a client-facing strategic and technical role, such as data science consulting, value engineering, or technical sales.
  • A degree in a relevant scientific field, such as Computer Science, Data Science, or Engineering.
  • Foundational knowledge of artificial intelligence, machine learning, and data science, with credibility to advise technical and non-technical audiences.
  • Hands-on experience building and deploying AI applications using Python, JavaScript, or similar languages.
  • Strong business acumen and problem-solving skills, including structuring ambiguous challenges into actionable solutions.
  • Executive presence and communication skills to influence senior stakeholders, including vice presidents, C-level executives, and mission owners.
  • Resilience, results orientation, and comfort leading through influence in a collaborative environment.
  • Comfort operating under security, compliance, and confidentiality constraints.
  • Must hold citizenship in the target territory, currently France.
  • Must meet local requirements for high-level security clearance, including having no criminal record and fulfilling national service obligations.

Responsibilities

  • Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can improve strategic environments.
  • Co-create AI adoption roadmaps with customers, articulating potential applications and a path to value within their regulatory and security perimeter.
  • Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives.
  • Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure, including cloud, on-premise, disconnected, and air-gapped environments.
  • Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact.
  • Own the execution of pilots and proofs of value to demonstrate the technology's potential and support full-scale deployment.
  • Advise customers on AI strategy and guide them in maximizing the value of their investment in Mistral.
  • Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors.
  • Identify expansion opportunities across use cases and units, building on initial successes to develop long-term partnerships.
  • Bridge customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps.
  • Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery in regulated settings.
  • Travel approximately 30–60% to foster client relationships and support on-site deployment.

Desired Qualifications

  • Experience with sales qualification frameworks such as MEDDPICC and value-based selling.
  • Experience deploying AI in regulated or sovereign environments, including defense, the public sector, or critical infrastructure.

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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