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NVIDIA

Solutions Architect – AI Factory

NVIDIA

. Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments .

Posted 9/29/2026full-timeRemote • South Africa, United Arab EmiratesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI and HPC infrastructure, with a strong focus on technical discovery, customer engagement, and solution architecture. Proficient in building trusted relationships with enterprise customers and leading cross-functional teams to drive successful project outcomes.

Highest-signal resume keywords
AI/HPC Infrastructure DesignTechnical Discovery LeadershipNVIDIA AI Factory StackEnterprise Customer EngagementPerformance Validation

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI/HPC Workload OrchestrationDatacenter InfrastructureDistributed SystemsHigh-Performance NetworkingStorage ManagementCluster ManagementGPU-Accelerated ComputingArchitecture WorkshopsProof-of-ConceptsTechnical Presentations
Soft Skills
Effective CollaborationExcellent Communication
Certifications & Qualifications
BS, MS or PhD in Computer ScienceEngineering or Related Field
Industry Keywords
Technical StrategyDeployment PlansReadiness AssessmentsMEP SystemsCooling InfrastructurePower DistributionPlumbing SystemsSouth Africa Market ExperienceTravel Across AfricaProfessional French

Tech Stack

Tools & technologies
Distributed Systems

About the role

Key responsibilities & impact
  • 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
  • Run proof-of-concepts, workshops, technical enablement, demos, and architecture solution reviews to prove technical and business value and accelerate customer adoption
  • 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 and grow trusted technical relationships with engineers, architects, IT leaders, and executives at strategic customer accounts

Requirements

What you’ll need
  • 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, Technical Consultant, or similar
  • Established track record designing, deploying, or operating AI and HPC infrastructure at enterprise scale
  • Deep technical expertise in several of the following: 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 technical presentations
  • Effective collaboration across teams, combined with excellent written and verbal communication
  • Strong experience working with enterprise customers in South Africa
  • Ability to travel across Africa as required
  • Professional French or other languages are an advantage
  • Practical background with the NVIDIA AI Factory stack
  • Expertise in MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems