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About the Role
As a Compute Solution Architect, you will be a trusted technical advisor supporting strategic AI Infrastructure customers. You will help clients design, deploy, and scale AI solutions managing large-scale GPU workloads and collaborate with sales and product teams to drive growth and customer satisfaction.
Responsibilities
- Serve as the primary technical point of contact, troubleshooting and resolving issues for AI Infrastructure services.
- Lead the delivery of strategic GPUaaS contracts and ensure all commitments are met, including timelines, SLAs, and 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.
- Engage directly with key customer stakeholders, including Founders, CTOs, Research Engineers, and Heads of Infrastructure.
Requirements
- 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.
Skills
- Cloud services
- AI/ML workloads
- Technical pre-sales
- Solutions architecture
- AI/ML concepts
- Technical engagement
- Technical adoption
- Cluster orchestration
- Kubernetes
- Batch/HPC workload management
- Model training frameworks runtimes (e.g., PyTorch, JAX, Tensorflow)
- Generative AI serving runtimes (e.g., vLLM, TensorRT-LLM, SGLang, TGI, LLM-D)
- Parallel file systems (e.g., Lustre, GPFS)
- Object storage integration
- High-performance infrastructure
- InfiniBand/RDMA networking
- Parallel storage
- Multi-node distributed training topologies
Location
- Europe
- North America
- Asia
- Middle East
Work Type
- Full-time
Experience Level
- 5-10+ years
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
About the Company
- 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.