Solutions Architect

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. We re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you re excited about applied technology and enabling others to succeed with advanced platforms, we d love to hear from you. What you'll be doing: • 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, workload orchestration. • Guide customers through adoption of NVIDIA's full-stack platform. • Run proof-of-concepts, workshops, technical enablement, demos, and architecture solution reviews, that prove technical and business value and accelerate customer adoption. • 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. • Build and grow trusted technical relationships with engineers, architects, IT leaders, and executives at strategic customer accounts. Ways to stand out from the crowd: • Strong experience working with enterprise customers across North Africa. • Native or fluent in Arabic and French, plus the ability to travel across North Africa as required (20% of the working time). • Practical background with the NVIDIA AI Factory stack. • Experience with MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems. • 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.