Compute Solution Architect

Mistral AI is hiring a Compute Solution Architect for a remote role open to applicants in United States. Level rates it ; you can apply on Mistral AI.

Level's read on this job

Level rates this solutions architect role Builds AI ●●●●: the job is building AI systems.
This is listed as a remote role.
The posting mentions vLLM, PyTorch and TensorFlow among its tools and skills.
Level classes it as a senior role.
Mistral AI has 234 other open roles on Level.

AI in this role

Support strategic AI infrastructure customers, guiding them in optimizing GPU performance for ML workloads and cluster orchestration.

vLLMPyTorchTensorFlowJAXTensorrt LLMSglangTgiKubernetesSlurm

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.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

Compute Solution Architect at Mistral AI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Compute Solution Architect is an open job at Mistral AI.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in New York and is marked remote.
The job was posted on September 10, 2026.
Seniority: senior.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

vLLMPyTorchTensorFlowJAXTensorrt LLMSglangTgiKubernetes

Also common in solutions architect jobs at this level

Python Deep learning AWS Fine-tuning RAG CUDA

Pay

Typical solutions architect job: $169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

What's a project where you used vLLM hands-on?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
What's a project where you used JAX hands-on?
Walk me through how you've used Tensorrt LLM in your day-to-day work.

Adapt your resume

List these exact terms on your resume: vLLM, PyTorch, TensorFlow, JAX, and Tensorrt LLM. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker