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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-timeLondon, UKNo 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, or data science, with credibility to advise technical and non-technical audiences.
  • Hands-on experience building and deploying artificial intelligence applications using Python, JavaScript, or a similar language.
  • Strong business acumen and problem-solving skills, including the ability to structure ambiguous challenges into actionable solutions.
  • Executive presence and communication skills to influence senior stakeholders, including vice presidents, C-level executives, and mission owners.
  • Ability to lead through influence in a collaborative environment and operate under security, compliance, and confidentiality constraints.
  • Must be a UK national and meet UK national security vetting requirements, such as Security Check and/or Developed Vetting, including applicable criminal-record, residency, and background checks.

Responsibilities

  • Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive improvements in strategic environments.
  • Co-create AI adoption roadmaps with customers, defining potential applications and a path to value within their regulatory and security boundaries.
  • Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives.
  • Architect end-to-end AI solutions by 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 production AI solutions, ensuring scalability, security, and impact.
  • Own the execution of pilots and proofs of value to demonstrate the technology's potential and prepare for full-scale deployment.
  • Advise customers on AI strategy and help them maximize 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 organizational units, building long-term customer partnerships.
  • Bridge customers and Mistral's internal teams, synthesizing feedback to inform product, science, and security roadmaps.
  • Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and support 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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