Solutions Architect - AI Factory

About the role

NVIDIA is looking for a Solutions Architect for its AI Factory program. The role connects real-world customer workloads to NVIDIA's hardware and software ecosystem, helping developers and enterprises adopt and scale its platforms. It suits someone with strong technical depth who can act as a trusted advisor and grow into a strategic resource for the customers and partners they support.

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 covering compute, networking, storage, cluster management and workload orchestration.
• Guide customers through adoption of NVIDIA's full-stack platform.
• Run proof-of-concepts, workshops, technical enablement, demos and architecture solution reviews.
• Partner 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.
• Build trusted technical relationships with engineers, architects, IT leaders and executives at strategic customer accounts.

Required profile

• BS, MS or PhD in Computer Science, Engineering or a 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.
• Experience leading technical discovery, architecture workshops, proof-of-concepts, performance validation and executive-level technical presentations.
• Effective collaboration across teams and excellent written and verbal communication.

Required skills

• Deep expertise in datacenter infrastructure, distributed systems, high-performance networking, storage, cluster management, AI/HPC workload orchestration and GPU-accelerated computing.
• Strong experience with enterprise customers in South Africa; professional French or other languages and the ability to travel across Africa are an advantage.
• Practical background with the NVIDIA AI Factory stack and expertise in MEP systems (cooling, power distribution, plumbing) used in AI Factory construction.