The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- 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
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!
#LI-BL1
Requirements:
Why World Wide Technology?
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.
Why This Role?
A seat at the table — and the language to hold it. WWT's most successful architects do not just design infrastructure. They connect technical depth to business outcomes, earn the trust of executive stakeholders, and translate what is possible into what is valuable. This role is built for someone who thinks in business models as fluently as they think in reference architectures.
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. WWT's ANZ business is at an inflection point, with enterprise and government customers making transformational AI infrastructure investments. This role anchors WWT's HPA and AI Factory capability across Australia and New Zealand — a market where technical credibility, trusted advisory relationships, and knowledge of local sovereign data and compliance requirements are essential competitive differentiators.
The role is designed as a natural pathway to the Principal Architect title — the expectation is that you will generate IP, influence industry direction, and grow the architects around you.
What You Will Do
Thought Leadership & Business Architecture
- 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.
AI Factory Architecture & Design
- 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.
AI Workload Management, MLOps & Security
- 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.
Field, Partner & Ecosystem Enablement
- 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.
Experience & Expertise
Technical Skills & Background
- 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.
Business Acumen, Communication & Leadership
- 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.
Preferred Qualifications
- 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.
