AI Solutions Architect - Global Financial Services

About the role

The Enterprise AI Strategy & GTM Execution team at WWT is at the center of the company's AI transformation. They lead the go-to-market motion across the full AI solution stack, from infrastructure and platforms to consulting, advisory, and managed services. This role is a rare opportunity to join a purpose-built AI sales organization at one of the world's leading technology solutions providers.

Responsibilities

• Technical Pre-Sales & Solution Design
• Serve as the technical counterpart to the AI Solutions Executive in all customer-facing engagements.
• Translate customer business problems into AI solution architectures spanning GPU/compute, data platforms, AI/ML frameworks, networking, storage, and application layers.
• Lead technical discovery sessions with customer engineering and data science teams, and produce reference architectures, BoMs, sizing models, and POC plans that drive decision-making and inform commercial proposals.
• ATC & Proof-of-Concept Coordination
• Partner with WWT's Advanced Technology Center to design and execute lab environments, benchmarks, and customer immersion sessions that validate proposed AI architectures.
• Lead technical execution of ATC engagements end-to-end and position lab-led validation as a competitive differentiator that de-risks customer commitment.
• NVIDIA & Partner Technical Alignment
• Maintain deep technical currency across the NVIDIA ecosystem (DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse) and work directly with NVIDIA resources on GPU design validation, NVAIE integration, and configuration optimization.
• Collaborate with hyperscaler and infrastructure partner teams (AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data) on hybrid and multi-cloud AI architecture design.
• Pre-Sales to Delivery Handoff
• Ensure proposed architectures are technically feasible, accurately scoped, and clearly documented for a clean transition to services and engineering teams.
• Participate in SOW validation alongside the AI Services Consultant and provide ongoing technical consultation to delivery teams during complex implementations as needed.
• POD & Cross-Functional Collaboration
• Function as an integrated member of the three-person regional POD (AI Solutions Executive, AI Solutions Architect, AI Services Consultant), contributing to joint pipeline reviews, account planning, and weekly cadence.
• Embed with field sales teams to surface AI opportunities and build their confidence through technical training, architecture overviews, and lunch-and-learn sessions.
• Contribute competitive intelligence and customer adoption insights back to the broader AI practice.

Qualifications

• Minimum 10 years in technical pre-sales, solutions architecture, or advanced engineering roles at a solutions provider, OEM, cloud provider, or consulting firm.
• Hands-on experience designing AI/ML infrastructure and platforms.
• Must be able to whiteboard an end-to-end AI architecture from GPU cluster design through networking, storage, software stock, MLOps pipeline, and inference deployment.
• Working knowledge of NVIDIA DGX/HGX systems, CUDA, AI Enterprise software suite, and partner integration patterns.
• Experience with AI workloads across on-premises, cloud (AWS, Azure, GCP), and hybrid environments. Understanding of NCP models, GPU-as-a-service, and sovereign AI infrastructure.
• Exceptional ability to translate technical complexity into business-relevant narratives.
• Strong presentation and whiteboarding skills.
• Comfortable operating in a revenue-generating, pre-sales context. Understands that the purpose of technical engagement is to advance deals.
• Experience collaborating in co-selling models with sales specialists, field account teams, and partner SE resources.
• Bachelor’s degree in computer science, engineering, or related field required.

Preferred Qualifications

• NVIDIA-certified or equivalent AI/ML platform certifications.
• Cloud architecture certifications (AWS SA Pro, Azure Solutions Architect, GCP PCA).
• Prior experience working at a top-tier solutions provider, related OEM, or cloud provider.
• Experience designing AI Factory / GPU cluster architectures at enterprise scale.

Benefits

• 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 & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program