Senior HPA Architect

World Wide Technology Healthcare Solutions•Jenks, OK

29d•Remote

About The Position

WWT is seeking a Senior HPA Architect to lead its AI Factory strategy. This role is for an experienced architect who can connect technical depth to business outcomes, earn the trust of executive stakeholders, and translate possibilities into value. The architect will shape WWT's AI Factory strategy, guide customers through complex AI adoption challenges, and build the intellectual foundation for WWT's HPA Practice. This position is designed as a pathway to Principal Architect, with expectations of generating intellectual property, influencing industry direction, and mentoring other architects.

Requirements

10 or more years of progressive experience in solutions architecture, technology advisory, or technical leadership, with a track record of designing and delivering complex, high-stakes infrastructure solutions.
Hands-on fluency with the NVIDIA accelerated computing ecosystem: GPU platform selection and sizing, NVAIE licensing, Mission Control, NIM microservices, Dynamo inference, Run:ai workload management, and NCP reference architectures.
Working expertise with AMD Instinct platforms and the ability to provide vendor-objective workload economics analysis; deep understanding of AI Factory design patterns including InfiniBand/RoCE networking, parallel file systems, NVMe-oF storage, and GPU-dense power and cooling.
Ability to architect across the full stack: Linux OS, Red Hat OpenShift AI, Kubernetes-native environments, and AI workload management/MLOps tooling across on-premises and hybrid environments.
Working knowledge of data center networking, security fabric, and high-speed interconnect design.
Demonstrated ability to connect technology architecture to business outcomes — quantifying value, communicating risk, and influencing investment decisions at the executive level.
Experience engaging C-suite stakeholders with the discipline to speak to both the technical and financial dimensions of major infrastructure investments.
Track record of driving business development through technical credibility — generating pipeline, advancing strategic accounts, and differentiating WWT in competitive situations.
Recognized internally and/or externally as a subject matter authority with evidence of intellectual contributions: publications, speaking engagements, or reference architectures that have shaped industry thinking.
Ability to mentor architects across the team, and to bridge collaboratively across WWT's AI, security, networking, storage, and professional services practices.

Nice To Haves

Advanced practitioner credentials: NVIDIA NCP, DCA, or equivalent; cloud AI certifications or other recognized industry credentials.
Experience in regulated or federal markets with working knowledge of NIST, FedRAMP, or CMMC frameworks as applied to AI and HPC environments.
Familiarity with facilities-level AI infrastructure: power density, liquid cooling, rack architecture, and data center readiness for GPU-dense deployments.
Python scripting in the context of infrastructure automation or MLOps; experience presenting at GTC, NVIDIA AI Summit, SC (Supercomputing), or equivalent forums.

Responsibilities

Serve as a senior subject matter authority for AI Factory design, accelerated infrastructure, and workload-optimized architecture across Enterprise, GSP, Public Sector, and Federal markets.
Translate deep technical architecture into AI business outcomes — connecting infrastructure decisions to financial impact, competitive advantage, risk posture, and operational resilience.
Develop original intellectual property: reference architectures, point-of-view papers, design frameworks, and advisory content that differentiates WWT's AI Practice in the market.
Engage executive and C-suite stakeholders as a trusted advisor, helping organizations understand how AI Factory investment maps to business model transformation.
Assist in developing new ways of working leveraging Generative AI and modern Agentic frameworks to advance the GS&A team's speed and efficiency.
Architect end-to-end AI Factory environments — spanning GPU compute, high-performance networking, intelligent storage, and workload management — from model training to inference at scale.
Lead HLD, BOM, and LLD for complex AI infrastructure engagements incorporating the full NVIDIA ecosystem: DGX Hopper, Blackwell, HGX, MGX, OVX, L40S, RTX Pro 6000; NVIDIA NVAIE, Mission Control, NIM, Dynamo, Run:ai, Blueprints, and NCP reference architectures.
Design vendor-neutral AI Factory solutions across NVIDIA, AMD, and Intel accelerated platforms, aligned to customer workload economics.
Assist in the design of high-performance network fabrics — InfiniBand and high-speed Ethernet — and develop architectures spanning bare-metal, containerized, and virtualized environments across the full AI compute stack.
Architect and advise on AI workload orchestration including NVIDIA BCM, Run:ai, Slurm, and emerging platforms such as Armada, Apolo, Rafay, and ClearML.
Guide customers on MLOps strategy — from data pipeline design through model training, validation, deployment, and lifecycle management — ensuring infrastructure decisions support the data science teams that consume them.
Size and design compute environments based on model type, parameter count, precision requirements, and inference SLA targets, translating data science requirements into infrastructure specifications.
Lead security-first architecture engagements — designing AI Factories with zero-trust frameworks, model access controls, data provenance, and supply chain integrity for regulated industries and federal customers.
Advise on securing multi-tenant GPU clusters, protecting training data and model weights, and establishing observability and audit trails for AI-driven business processes.
Partner with regional field architects, sales, and professional services to translate HPA and AI Factory capabilities into customer-ready solutions, workshops, and advisory offerings.
Develop and deliver technical enablement content — briefings, training, roadshows, and hands-on ATC labs — that builds the field organization's ability to position and sell AI Factory solutions.
Cultivate executive-level relationships with WWT's most strategic HPA partners — NVIDIA, AMD, Cisco, HPE, Dell, and others — ensuring early access to roadmaps, engineering resources, and co-sell opportunities.
Drive partner product announcement strategies and roadmap communication that keeps WWT's field teams and customers ahead of the technology curve.
Achieve and maintain OEM certifications across the HPA ecosystem, ensuring WWT retains elite partner status and early roadmap engagement.