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# Senior Solution Architect - AI / GPU Cloud

- **Company:** GLINT TECH SOLUTIONS LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Data Centers, Distributed Computing Environment, InfiniBand, Performance Tuning, Cloud Services, Graphics Processing Unit (GPU), High Performance Computing, Kubernetes, Storage Technologies, Slurm, Machine Learning Operations, Hardware Infrastructure
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=548bf2705a699d94

## About the Role

Do you have experience in GPU architecture?, Technical Background

5-10+ years in cloud infrastructure, GPU cloud, HPC, or AI/ML infrastructure

Experience with distributed training/inference, Kubernetes or Slurm

Strong knowledge of NVIDIA GPU stack (H100/H200/B200/GB200)

Familiarity with InfiniBand and AI-optimized storage architectures

Customer-Facing & Soft Skills

Experience working directly with enterprise or hyperscaler customers

Strong communication and solution design skills

Self-starter mindset with strong ownership and problem-solving ability

## Description

Customer Engagement & Technical Leadership

Serve as the primary technical point of contact for enterprise and hyperscaler customers

Understand customer AI/ML/HPC workloads, scaling requirements, and deployment models

Architect end-to-end GPU cloud solutions including compute, storage, networking, and orchestration

Solution Design & Proof of Concept (PoC)

Lead PoCs, benchmarks, and technical workshops

Produce architecture diagrams, capacity plans, and cost/performance analyses

Translate complex technical challenges into actionable plans

Deployment & Enablement

Guide onboarding, cluster setup, tuning, and scaling

Partner with Infrastructure, Data Center Ops, and Engineering teams

Identify optimization opportunities across GPU utilization and cost

Ongoing Support & Relationship Building

Act as a long-term technical advisor on AI/GPU infrastructure

Conduct regular technical and capacity reviews

Collaborate with product and engineering to improve the platform


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