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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 .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesDistributed 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