Solutions Architect – AI Factory (CIS Region)

About the role

We are looking for a Solutions Architect – AI Factory with experience in designing, building, and maintaining large‑scale AI factories to join our team at NVIDIA. In this role, you’ll connect real‑world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms.

Key responsibilities

• Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments.
• Design end‑to‑end AI Factory solutions spanning compute, networking, storage, cluster management, and workload orchestration.
• Guide customers through adoption of NVIDIA’s full‑stack platform, running proof‑of‑concepts, workshops, demos and architecture solution reviews.
• Partner closely with sales account managers to shape technical strategy, qualify opportunities, develop solution proposals and secure customer wins.
• Lead technical design reviews, bills of materials, deployment plans, readiness assessments and handoffs to implementation and operations teams.

Required profile

• BS, MS or PhD in Computer Science, Engineering or related field (or equivalent experience).
• 5+ years in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer or Technical Consultant.
• Proven track record designing, deploying or operating AI and HPC infrastructure at enterprise scale.
• Deep technical expertise in datacenter infrastructure, distributed systems, high‑performance networking, storage, cluster management, AI/HPC workload orchestration and GPU‑accelerated computing.
• Experience leading technical discovery, architecture workshops, proof‑of‑concepts, performance validation and executive‑level presentations.

Required skills

• Datacenter infrastructure
• Distributed systems
• High‑performance networking
• Storage solutions
• Cluster management
• AI/HPC workload orchestration
• GPU‑accelerated computing
• NVIDIA AI Factory stack
• MEP systems for AI Factory construction (cooling infrastructure, power distribution)