Mistral AI
Compute Solution Architect
New York +2 · Remote · Full-time · Posted Sep 10, 2026
- Location
- New York
Montréal
Toronto - Experience
- 5-10 + years; roles may include Cloud Solutions Architect, Technical Account Manager, or Customer Engineer.
About the job
Advises strategic AI infrastructure customers on designing, deploying, and scaling AI solutions and GPU workloads, while coordinating delivery and supporting customer growth.
What you'll do
- Serve as the primary technical contact for AI Infrastructure services and troubleshoot customer issues.
- Lead delivery of GPUaaS contracts, meeting timelines and SLAs; guide GPU performance optimization for ML training and inference.
- Coordinate customer feedback with product and support teams, and partner with sales on opportunities and technical presentations.
What they ask for
- 5-10 + years in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on cloud services and AI/ML workload experience.
- Track record in technical pre-sales or solutions architecture, driving partner infrastructure engagements through production.
- Strong understanding of AI/ML concepts and advanced implementations, with proven success driving technical engagement and adoption.
- Working knowledge of Slurm, Kubernetes, and batch/HPC workload management.
Nice to have
- Working knowledge of model training frameworks and runtimes such as PyTorch, JAX, Tensorflow, and Generative AI serving runtimes such as vLLM, TensorRT-LLM, SGLang, TGI, or LLM-D.
- Proficiency with parallel file systems and object storage integration; familiarity with InfiniBand/RDMA networking and distributed training topologies.
Tools
Slurm, Kubernetes, PyTorch, JAX, Tensorflow, vLLM, TensorRT-LLM, SGLang
AI focus
Supports customers running AI/ML workloads, including GPU optimization for model training and inference and large-scale GPU workload deployments.
Model-written summary · the original posting is authoritative