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# Senior Solution Architect - AI / GPU Cloud

- **Company:** GMI Cloud
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Computer Clusters, Data Centers, Distributed Computing Environment, InfiniBand, Node.Js, Performance Tuning, AI Infrastructure, High Performance Computing, Kubernetes, Storage Technologies, Slurm, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_519d0c8a4355a465cf40f424ab694107

## About the Role

Technical Background

 * 5-10+ years in cloud infrastructure, GPU cloud, HPC, AI/ML infrastructure, or data center engineering.
 * Strong understanding of distributed training & inference architectures, Kubernetes, Slurm, or other cluster/orchestration systems, NVIDIA GPU stack (H100/H200/B200/GB200 or similar), InfiniBand/high-speed networking, and storage architectures for AI workloads.

Customer-Facing Skills

 * Experience working directly with enterprise or hyperscaler technical teams.
 * Ability to simplify complex infra concepts for both technical and non-technical audiences.
 * Strong communication, solution-design, and project coordination skills.

Soft Skills

 * Self-starter, ownership mindset, excellent follow-through.
 * Comfortable working in a fast-moving, high-growth environment.
 * Strong problem-solving and "architect + advisor" mentality., * Hands-on with large-scale GPU deployments (multi-node, multi-cluster).
 * Exposure to hyperscaler capacity planning or AI infrastructure procurement teams.
 * Experience with multi-region or global GPU deployments (US + APAC/Taiwan).

## Description

We are seeking a Senior Solution Architect to design GPU-cloud and AI infrastructure solutions, lead PoCs and benchmarks, guide customers through deployment, and partner closely with engineering and operations teams at GMI Cloud., As a Solution Architect, you will be the primary technical interface for our enterprise and hyperscaler accounts and help customers build AI without limits., * Serve as the primary technical point-of-contact for enterprise and hyperscaler customers.

 * Deeply understand customer AI/ML/HPC workloads, scaling requirements, and deployment models.
 * Architect GPU clusters, storage, networking, and orchestration solutions tailored to customer needs.
 * Lead proof-of-concepts, benchmarks, and workshops demonstrating performance, reliability, and scalability.
 * Produce technical proposals, architecture diagrams, capacity plans, and cost/performance recommendations.
 * Translate complex technical issues into clear actions for both engineering and business stakeholders.
 * Guide customers through onboarding, cluster setup, performance tuning, and scaling.
 * Partner with internal infra, DC ops, and engineering teams to ensure smooth delivery and implementation.
 * Identify optimization opportunities in customer workloads (GPU utilization, networking, scheduling, cost).
 * Act as a trusted advisor on GPU/AI infrastructure best practices, roadmap, and long-term planning.
 * Maintain regular technical check-ins, capacity reviews, and performance reviews with customers.
 * Gather customer feedback and collaborate with product/engineering to improve our platform.