Founding AI Infrastructure Solutions Architect

FPX World; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

FPX AI is seeking a hands-on AI Infrastructure Solutions Architect to lead technical discovery, develop infrastructure designs and support projects from requirements through deployment planning.

You will work directly with customers to translate requirements into practical AI infrastructure recommendations, designing GPU/HPC environments and validating BOMs while guiding vendor proposals and deployment risks.

Qualifications

• Hands-on experience with AI, GPU, HPC, cloud or data-center infrastructure.
• Experience designing, deploying, operating or troubleshooting multi-node systems.
• Strong knowledge of server architecture, networking and storage.
• Experience creating or reviewing infrastructure BOMs.
• Familiarity with rack-level power, cooling and physical deployment considerations.
• Ability to lead technical customer conversations and communicate recommendations clearly.
• Strong systems thinking and ability to identify dependencies across multiple infrastructure layers.
• Comfort working through incomplete requirements and ambiguous technical problems.
• High ownership and willingness to stay involved in detailed technical work.

Responsibilities

• Lead technical discovery with customers and understand workloads, performance requirements and operating constraints.
• Translate customer requirements into practical AI infrastructure recommendations.
• Design multi-node GPU and HPC environments across compute, networking, storage and supporting infrastructure.
• Create and validate bills of materials, technical proposals and architecture diagrams.
• Compare different platforms and explain tradeoffs to technical and commercial stakeholders.
• Review vendor proposals for compatibility, completeness and deployment risk.
• Evaluate whether proposed facilities and deployment environments can support the intended systems.
• Support customer projects through technical diligence, vendor selection and deployment planning.
• Troubleshoot architecture and implementation issues.
• Document lessons learned and help establish internal technical standards and best practices.

Job description

FPX AI helps companies evaluate, source and deploy AI infrastructure. We work across hardware, cloud and data-center environments to help customers make technically and economically sound infrastructure decisions.

We are hiring a hands-on, customer-facing AI Infrastructure Solutions Architect to lead technical discovery, develop infrastructure designs and support projects from initial requirements through deployment planning. This role is suited to someone who combines deep systems knowledge with the ability to communicate clearly with customers.

What you will do

• Lead technical discovery with customers and understand their workloads, performance requirements and operating constraints
• Translate customer requirements into practical AI infrastructure recommendations
• Design multi-node GPU and HPC environments across compute, networking, storage and supporting infrastructure
• Create and validate bills of materials, technical proposals and architecture diagrams
• Compare different platforms and explain the tradeoffs to technical and commercial stakeholders
• Review vendor proposals for compatibility, completeness and deployment risk
• Evaluate whether proposed facilities and deployment environments can support the intended systems
• Support customer projects through technical diligence, vendor selection and deployment planning
• Troubleshoot architecture and implementation issues
• Document lessons learned and help establish internal technical standards and best practices

What we are looking for

• Hands-on experience with AI, GPU, HPC, cloud or data-center infrastructure
• Experience designing, deploying, operating or troubleshooting multi-node systems
• Strong knowledge of server architecture, networking and storage
• Experience creating or reviewing infrastructure BOMs
• Familiarity with rack-level power, cooling and physical deployment considerations
• Ability to lead technical customer conversations and communicate recommendations clearly
• Strong systems thinking and the ability to identify dependencies across multiple infrastructure layers
• Comfort working through incomplete requirements and ambiguous technical problems
• High ownership and willingness to remain involved in detailed technical work

Strong signals

Experience in one or more of the following areas would stand out:

• Modern NVIDIA or AMD GPU infrastructure
• Large-scale training or inference environments
• High-performance Ethernet or InfiniBand networking
• AI-optimized or parallel storage
• Linux, Kubernetes, Slurm or distributed-computing environments
• High-density rack deployments
• Liquid-cooled infrastructure
• Cluster testing, commissioning, benchmarking or troubleshooting
• Work at an OEM, systems integrator, GPU cloud, HPC provider or advanced infrastructure organization

You do not need to meet every qualification. We are looking for someone with real technical depth, strong learning velocity, and the ability to earn customer trust.

• Work directly on complex, real-world AI infrastructure projects
• Take broad ownership across customer discovery, architecture and execution
• Work closely with FPX’s founders and commercial team
• Gain exposure to multiple layers of the AI infrastructure ecosystem
• Help establish the technical foundation of a growing company