Senior HPA Architect

Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world‑class culture, generous benefits and by delivering cutting‑edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploy them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of 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 creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What will you be doing? The convergence of AI, accelerated computing, and enterprise transformation is redefining what it means to be a solutions architect. WWT's AI Practice is at the center of that shift — and this Principal Solutions Architect role sits at its most senior technical edge. 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, guide customers through the most complex AI adoption challenges of their careers, and build the intellectual foundation that makes WWT's HPA Practice irreplaceable. The role is designed as a natural pathway to the Distinguished Architect title — the expectation is that you will generate IP, influence industry direction, and grow the architects around you. Responsibilities Thought Leadership & Business Architecture 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 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 key stakeholders and executive/C‑suite stakeholders as a trusted advisor, helping organizations understand not just what to buy, but how AI Factory investment maps to business model transformation. Represent WWT at industry forums, partner summits, and customer briefings as a recognized voice in AI infrastructure architecture. AI Factory Architecture & Design Architect end-to-end AI Factory environments — spanning GPU compute, high-performance networking, intelligent storage, and workload management — aligned to customer AI use cases ranging from model training to inference at scale. Lead high-level design (HLD), bill of materials (BOM), and low-level design (LLD) for complex AI infrastructure engagements, incorporating the full NVIDIA ecosystem. Design AI Factory solutions incorporating NVIDIA and/or AMD/Intel accelerated platforms, ensuring customers have vendor-neutral advisory that aligns to their specific workload economics. Apply deep Cisco infrastructure expertise when needed — networking architecture, security fabric, and data center design — to build the reliable, high-throughput connectivity fabric that AI Factories demand, including InfiniBand and high-speed Ethernet interconnect design. Develop architectures that span the full AI compute stack: bare-metal, containerized, and virtualized environments including but not limited to the fourth pillar of HPA and Intelligence layers of AI Factory and HPA. AI Workload Management & MLOps Architect and advise on AI workload orchestration environments including NVIDIA BCM, Run:ai, Slurm, and emerging orchestration platforms such as Aarna, Apolo, Rafay, and ClearML. Guide customers on MLOps strategy with extended team resources — 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. Advise on Kubernetes-native and OpenShift AI architectures that enable scalable, reproducible AI workload environments across multi-tenant factory deployments. Secure AI Factory Design Lead architecture engagements with an explicit security posture embedded from first principles — designing AI Factories that meet the governance, risk, and compliance requirements of regulated industries and federal customers. Develop zero-trust architecture frameworks for AI environments, addressing model access controls, data provenance, inference security, and supply chain integrity for AI workloads. Advise customers on securing multi-tenant GPU clusters, protecting training data and model weights, and establishing observability and audit trails for AI-driven business processes. Collaborate with WWT's security practice to align AI Factory designs with enterprise security architecture, ensuring that the speed of AI adoption does not outpace organizational risk tolerance. Field Enablement & Practice Development Partner with WWT's regional field architects, sales organization, and professional services teams 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 labs through WWT's Advanced Technology Center — that builds the field organization's ability to position and sell AI Factory solutions. Contribute to WWT's AI Practice go-to-market strategy by identifying new solution areas, emerging technology opportunities, and adjacent business outcomes that HPA capabilities can address. Conduct market scan analyses comparing key OEM solutions across the HPA portfolio, providing WWT leadership and customers with objective, architecturally grounded guidance. Achieve and maintain OEM certifications across the HPA ecosystem — NVIDIA, AMD, Cisco, and key system OEMs — ensuring WWT retains elite partner status and access to early roadmap engagement. Partner & Ecosystem Leadership Cultivate and sustain executive-level relationships with WWT's most strategic HPA partners — NVIDIA, AMD, Cisco, HPE, Dell, and others compute players — ensuring WWT has early access to roadmaps, engineering resources, and co-sell opportunities. Drive partner product announcement strategies, software release positioning, and roadmap communication that keeps WWT's field teams and customers ahead of the technology curve. Build and expand partner ecosystems complementary to WWT's AI Factory go-to-market, identifying integration opportunities across compute, networking, storage, security, and software platforms. Qualifications 15 or more years of progressive experience in solutions architecture, technology advisory, or technical leadership roles, with a demonstrated track record of designing and delivering complex, high-stakes infrastructure solutions. Deep, practitioner-level expertise in Cisco networking and data center architecture — including Catalyst, Nexus, ACI, UCS, and Cisco security fabric — with the ability to leverage that foundation in designing the network fabric underpinning AI Factory environments. Hands‑on fluency with the NVIDIA accelerated computing ecosystem, including GPU platform selection and sizing, NVAIE software licensing, Mission Control, NIM microservices, Dynamo inference infrastructure, Run:ai workload management, and NCP reference architectures. Working expertise with AMD Instinct accelerated compute platforms and the ability to provide vendor‑objective workload economics analysis across NVIDIA and AMD solutions. Deep understanding of AI Factory design patterns: high‑performance compute clusters, InfiniBand and RoCE networking, parallel file systems and NVMe‑oF storage, and power and cooling infrastructure considerations for GPU‑dense deployments. Ability to architect and align with HPA team resources across the full virtualization and containerization stack: VMware VCF, DGX OS, Red Hat OpenShift AI, and Kubernetes‑native environments. Substantive experience with AI workload management and MLOps tooling — scheduling, resource governance, experiment tracking, and model lifecycle management across on‑premises and hybrid AI environments. Business Acumen & Communication 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 and senior business stakeholders, with the communication discipline to speak to both the technical and financial dimensions of major infrastructure investments. Strong instinct for business model analysis: understanding how AI Factory investments affect an organization's cost structure, competitive position, operational capacity, and risk profile. Track record of driving business development through technical credibility — generating pipeline, advancing strategic accounts, and serving as a differentiating voice in competitive situations. Leadership & Thought Leadership Recognized internally and externally as a subject matter authority, with evidence of intellectual contributions: publications, speaking engagements, reference architectures, or other IP that has shaped customer or industry thinking. Ability to mentor and elevate the architects around you — translating your own expertise into frameworks, patterns, and habits that make the broader team more capable. Strong organizational, program management, and stakeholder alignment skills, with the ability to lead complex multi-party architecture engagements from scoping through delivery. Collaborative working style that naturally bridges across WWT practices — AI, security, networking, storage, professional services, and partner management — to bring the best of WWT to every customer engagement. Preferred Qualifications CCIE, NVIDIA certification (NCP, DCA, or equivalent), or other advanced practitioner credentials in relevant domains. Experience in regulated or federal markets with working knowledge of NIST, FedRAMP, CMMC, or equivalent frameworks as applied to AI and HPC environments. Familiarity with facilities-level AI infrastructure considerations: power density, liquid cooling, rack architecture, and data center readiness for GPU-dense deployments. Python scripting experience in the context of infrastructure automation, MLOps pipeline development, or AI workload management. Experience contributing to or presenting at major industry forums: GTC, Cisco Live, NVIDIA AI Summit, SC (Supercomputing), or equivalent events. Salary and Benefits Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $270,000.00 to $280,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. 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: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program 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! If you have any questions or concerns about this posting, please email View email address on click.appcast.io. #J-18808-Ljbffr World Wide Technology