Infrastructure Solution Architect

Mistral; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Mistral is seeking an experienced DevOps/SRE/Cloud Solution Architect to drive adoption and scaling of GenAI solutions for enterprise customers. You will deploy AI models into customer infrastructure, guide deployments, and collaborate with product and science teams to tailor offerings.

This role combines hands-on engineering with strategic customer engagement, with 30–60% travel to client sites. Fluency in Python, container tech (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP) is

Qualifications

• Degree in a relevant scientific field (CS, Data Science, Engineering).
• Experience DevOps, SRE, or Cloud Solution Architect roles.
• Experience deploying AI-based products in production.
• Fluent in Python; strong containerization and cloud knowledge.

Responsibilities

• Drive adoption and scaling of GenAI solutions.
• Support deployment of models into customer infrastructure.
• Collaborate with product and science teams to tailor AI solutions.
• Manage customer onboarding and POC success metrics.
• Travel ~30–60% to client sites.

Skills

Python

DevOps

Stakeholder mgmt

Customer facing

Project management

Sales qualification

Education

Bachelor's degree in CS / Data Science / Engineering

Tools

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

On-prem

Job description

About Mistral

Mistral provides full‑stack AI solutions—from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high‑stakes industries such as finance, manufacturing, defense, healthcare, and the public sector, co‑creating customized AI systems that they can run on their terms.

Role Summary

• You will be the catalyst driving the adoption and scaling of cutting‑edge AI solutions; this is an individual‑contributor role.
• You work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.
• You guide companies in integrating GenAI solutions, making AI an integral part of their operations.
• You drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.
• You partner closely with our product and science teams to deliver state‑of‑the‑art AI solutions tailored to client needs.
• You tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.
• You contribute to the evolution of AI technology, influencing how businesses operate and compete.
• You will travel approximately 30–60% of your time and spend a portion of your time at the client’s office.

What You Will Do

Delivering value to the customers

• Execute effective technical discovery to understand potential clients’ needs, challenges, and desired outcomes in collaboration with Account Executives.
• Contribute to identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.
• Influence evaluation criteria and control the evaluation process.
• Create a strategic vision for the customer based on a deep understanding of their strategy, desired business outcomes, and required capabilities.

Product deployment

• Guide and support customers in deploying our models and products into their infrastructure.
• Work closely with customers to deploy relevant solutions according to their specific requirements.
• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.
• Develop custom features for customers as needed.

Customer Onboarding

• Responsible for onboarding customers on our products, providing guidance on deployment and integration.
• Ensure the best production setup from the low‑level GPU stack up to infrastructure, back‑end, and front‑end interfaces.

Project management

• Define and track success metrics of the POC being rolled out at customers.
• Operate as a program leader, leveraging internal Mistral teams and customer teams to keep projects moving forward.

About You

• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering).
• You have experience working as a DevOps, Site Reliability Engineer, or Cloud Solution Architect.
• You are experienced with deploying and managing AI‑based products in production environments.
• You are fluent in Python.
• You have experience with containerization technologies (Docker, Kubernetes), CI/CD pipelines, and automated deployment tools.
• You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on‑premise infrastructure.
• You have been involved in a customer‑facing role.
• You possess strong project and stakeholder management skills.
• You have foundational knowledge in AI/ML/Data science.
• You can connect technology and business value.
• You are result‑driven and resilient.
• Knowledge of sales qualification concepts is a strong plus.

Required qualities

We are looking for adaptable team players who excel in a fast‑paced environment and are ready to support pre‑sales as well as deployment tasks, contributing to our shared goals and success.