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Mistral AI

Open-weight LLMs and enterprise AI deployment

Infrastructure Solution Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • Hold a degree in a relevant scientific field, such as Computer Science, Data Science, or Engineering.
  • Have experience working as a DevOps professional, Site Reliability Engineer, or Cloud Solution Architect.
  • Have experience deploying and managing AI-based products in production environments.
  • Be fluent in Python.
  • Have experience with containerization technologies such as Docker and Kubernetes, CI/CD pipelines, and automated deployment tools.
  • Have a deep understanding of cloud platforms such as AWS, Azure, and GCP, as well as on-premise infrastructure.
  • Have experience in a customer-facing role.
  • Have project and stakeholder management skills.
  • Have foundational knowledge of AI, machine learning, or data science.
  • Be able to connect technology with business value.

Responsibilities

  • Execute technical discovery with Account Executives to understand potential clients’ needs, challenges, and desired outcomes.
  • Help identify, qualify, and disqualify opportunities where Mistral solutions can unlock customer value.
  • Influence evaluation criteria and guide evaluations and the evaluation process.
  • Create a strategic vision for each customer project based on the customer’s strategy, desired business outcomes, and required capabilities.
  • Guide and support customers in deploying Mistral models and products into their infrastructure.
  • Work with customers to deploy solutions suited to their requirements.
  • Liaise regularly with product and technical teams to relay feedback and suggest improvements.
  • Develop custom features for customers as needed.
  • Onboard customers to Mistral products and guide deployment and integration.
  • Help ensure an effective production setup spanning the low-level GPU stack, infrastructure, back-end, and front-end interfaces.
  • Define and track success metrics for customer proof-of-concept projects.
  • Lead programs by coordinating internal Applied Engineers and customer teams to keep projects moving forward.
  • Travel approximately 30–60% of the time and spend time at client offices.

Desired Qualifications

  • Familiarity with sales qualification concepts is a strong plus.

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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