Compute Solution Architect

Mistral; New York, Northern (NY, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare coverage

Relocation support

Retirement plans

Wellness programs

Job summary

Mistral seeks a Compute Solution Architect to support strategic AI Infrastructure customers, designing, deploying, and scaling AI solutions with large GPU deployments. You will collaborate with sales, product, and support to ensure customer success.

Ideal candidates have 5–10+ years in cloud/AI roles, strong pre-sales experience, and a deep understanding of AI/ML concepts and cluster orchestration. This role emphasizes end-to-end delivery and customer adoption of GPU-based solutions.

Qualifications

• 5–10+ years in cloud solutions roles with AI/ML workloads.
• Proven pre-sales/solutions architect experience driving infra engagements.
• Strong knowledge of AI/ML concepts and advanced implementations.
• Experience with cluster orchestration and scheduling tools (Slurm, Kubernetes, HPC workloads).

Responsibilities

• Serve as the primary technical point of contact for AI Infrastructure services.
• Lead delivery of strategic GPUaaS contracts with timelines and SLAs.
• Bridge to product and support teams, capture feedback and requests.
• Guide customers in optimizing GPU performance for ML training and inference.
• Partner with sales to identify opportunities and deliver technical presentations.

Skills

Cloud architecture

AI/ML workloads

Pre-sales/solutions

Kubernetes

GPU workloads

Tools

PyTorch

JAX

TensorFlow

vLLM

TensorRT-LLM

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 like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As a Compute Solution Architect, you will support our strategic AI Infrastructure customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

What You Will Do

Your responsibilities will include:

• Serve as the primary technical point of contact, troubleshooting and resolving for AI Infrastructure services.

• Lead the delivery of strategic GPUaaS contracts and ensure all commitments are met (timelines, SLAs, support, …).

• Act as a bridge to product and support teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.

• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.

• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.

What We're Looking For

• 5-10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.

• Track record as a technical pre-sales/solutions architect driving infrastructure engagements with partners through to production.

• Strong understanding of AI/ML concepts and advanced implementations.

• Proven success driving technical engagement and technical adoption.

• Working knowledge of cluster orchestration and scheduling: Slurm, Kubernetes, and batch/HPC workload management.

Nice to have

• Working knowledge of model training frameworks runtimes (e.g., PyTorch, JAX, Tensorflow) and Generative AI serving runtimes (e.g., vLLM, TensorRT-LLM, SGLang, TGI, LLM-D).

• Proficiency with parallel file systems (e.g., Lustre, GPFS) and object storage integration.

• Familiarity with high-performance infrastructure: InfiniBand/RDMA networking, parallel storage, and multi-node distributed training topologies.

Why This Role Matters

Compute deals require flawless execution from the initial technical commitment through deployment and production. By coordinating customers, sales, product, and support, the Compute Solution Architect ensures that infrastructure performs as expected, contractual commitments and SLAs are met, and issues are resolved quickly. This end-to-end ownership is critical to building customer trust, securing long-term adoption, and turning strategic GPUaaS contracts into successful partnerships.

Hiring Process

• Talent Acquisition screening call

• 45 min Hiring Manager & Business Acumen interview

• 60 min Technical deep dive

• Panel (home prep & restitution)

• 30 min Value talk

• Reference checks

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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