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About the Role

This is a senior thought leadership position for an architect who has earned credibility across both the technology domain and the boardroom. You will shape WWT's AI Factory strategy across Australia & New Zealand, guide customers through their most complex AI adoption challenges, and build the intellectual foundation that makes WWT's HPA Practice irreplaceable.

Responsibilities

• Serve as a senior subject matter authority for AI Factory design, accelerated infrastructure, and workload-optimized architecture across WWT's Enterprise, GSP, Public Sector — Australia & New Zealand customer base.
• 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.
• 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.
• Navigate the distinct dynamics of the ANZ market — including federal and state government AI initiatives, sovereign data requirements, and the region's growing hyperscaler and enterprise AI demand — translating WWT's global HPA capabilities into ANZ-specific solutions, go-to-market strategies, and partner engagements.

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.
• 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.

Skills

• AI Factory design
• Accelerated infrastructure
• Workload-optimized architecture
• NVIDIA accelerated computing ecosystem
• GPU platform selection and sizing
• NVAIE licensing
• Mission Control
• NIM microservices
• Dynamo inference
• Run:ai workload management
• NCP reference architectures
• AMD Instinct platforms
• Vendor-objective workload economics analysis
• AI Factory design patterns
• InfiniBand/RoCE networking
• Parallel file systems
• NVMe-oF storage
• GPU-dense power and cooling
• Linux OS
• Red Hat OpenShift AI
• Kubernetes-native environments
• AI workload management
• MLOps tooling
• On-premises environments
• Hybrid environments
• Data center networking
• Security fabric
• High-speed interconnect design
• Generative AI
• Agentic frameworks
• HLD
• BOM
• LLD
• NVIDIA DGX Hopper
• NVIDIA Blackwell
• NVIDIA HGX
• NVIDIA MGX
• NVIDIA OVX
• NVIDIA L40S
• NVIDIA RTX Pro 6000
• NVIDIA NVAIE
• NVIDIA NIM
• NVIDIA Dynamo
• NVIDIA Run:ai
• NVIDIA Blueprints
• NVIDIA NCP
• AMD accelerated platforms
• Intel accelerated platforms
• High-performance network fabrics
• InfiniBand
• High-speed Ethernet
• Bare-metal environments
• Containerized environments
• Virtualized environments
• AI compute stack
• NVIDIA BCM
• Slurm
• Armada
• Apolo
• Rafay
• ClearML
• Data pipeline design
• Model training
• Model validation
• Model deployment
• Model lifecycle management
• Data science requirements
• Infrastructure specifications
• Zero-trust frameworks
• Model access controls
• Data provenance
• Supply chain integrity
• Regulated industries
• Federal customers
• Multi-tenant GPU clusters
• Training data protection
• Model weights protection
• Observability
• Audit trails
• AI-driven business processes
• Field enablement
• Partner enablement
• Ecosystem enablement
• Customer-ready solutions
• Workshops
• Advisory offerings
• Technical enablement content
• Briefings
• Training
• Roadshows
• ATC labs
• Field organization positioning
• Field organization selling
• Strategic partner relationships
• Roadmap access
• Engineering resources
• Co-sell opportunities
• Partner product announcement strategies
• Roadmap communication
• OEM certifications
• Elite partner status
• ANZ market dynamics
• Federal AI initiatives
• State government AI initiatives
• Sovereign data requirements
• Hyperscaler AI demand
• Enterprise AI demand
• ANZ-specific solutions
• ANZ go-to-market strategies
• ANZ partner engagements
• Business acumen
• Communication
• Leadership
• Business outcomes quantification
• Risk communication
• Executive influence
• C-suite stakeholder engagement
• Technical dimension communication
• Financial dimension communication
• Business development
• Technical credibility
• Pipeline generation
• Strategic account advancement
• Competitive differentiation
• Subject matter authority
• Intellectual contributions
• Publications
• Speaking engagements
• Industry thinking shaping
• Architect mentoring
• Cross-practice collaboration
• AI practice collaboration
• Security practice collaboration
• Networking practice collaboration
• Storage practice collaboration
• Professional services practice collaboration
• NVIDIA NCP
• NVIDIA DCA
• Cloud AI certifications
• Regulated markets experience
• Federal markets experience
• NIST frameworks
• FedRAMP frameworks
• CMMC frameworks
• HPC environments
• Facilities-level AI infrastructure
• Power density
• Liquid cooling
• Rack architecture
• Data center readiness
• Python scripting
• Infrastructure automation
• GTC presentations
• NVIDIA AI Summit presentations
• SC (Supercomputing) presentations

Location

• Australia & New Zealand

Work Type

• Full-time

Experience Level

• Senior
• Principal Architect pathway

Benefits

• Health and Wellbeing: Combined Health Insurance, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Bereavement

About the Company

• Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution.
• We combine the power of strategy, execution, and partnership to accelerate digital transformational outcomes for organizations around the globe.
• Through our Advanced Technology Center — a collaborative ecosystem of the world's most advanced hardware and software solutions — WWT helps clients conceptualize, test, and validate innovative technology solutions, then deploys them at scale through our global warehousing, distribution, and integration capabilities.
• With over 12,000 employees across WWT and Softchoice and more than 60 locations worldwide, our culture — built on core values and established leadership philosophies — has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation, and inclusivity.

Equal Opportunity

• We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication.
• Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!