Role Overview

GMI Cloud is seeking a Senior Solution Architect – AI / GPU Cloud to act as a trusted technical advisor

for enterprise and hyperscaler customers. This role sits at the intersection of AI infrastructure, GPU

cloud architecture, and customer-facing solution design, enabling large-scale AI/ML and HPC

workloads.

Key Responsibilities

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

Required Qualifications

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