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!
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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, World Wide Technology (WWT) is a global technology solutions provider leading the AI and Digital Revolution. With more than $20 billion in annual revenue, WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations. 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 deploys them at scale through its global warehousing, distribution and integration capabilities.
With over 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 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. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners and communities.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
About the Role
The AI Solutions Architect is the technical pre-sales partner within each regional AI POD, working alongside an AI Solutions Executive and AI Services Consultant. This role brings hands-on architectural expertise into customer engagements during the pre-sales phase, translating customer business requirements into concrete AI solution designs, reference architectures, and technical proposals that give WWT credibility and differentiation in competitive pursuits.
This is not a delivery or post-sales engineering role. The AI Solutions Architect operates in a revenue-generating context, providing the technical depth enterprise customers require before committing to AI investments. The role demands the ability to whiteboard an end-to-end AI architecture in a customer meeting, coordinate proof-of-concept engagements through WWT's Advanced Technology Center (ATC), and ensure that what is sold can be built, scoped accurately, and transitioned cleanly to delivery teams.
What You'll Do
- Serve as the technical counterpart to the AI Solutions Executive in all customer-facing engagements, providing architectural depth, solution credibility, and technical validation
- Translate customer business problems into AI solution architectures spanning GPU/compute infrastructure, data platforms, AI/ML frameworks, networking for AI, storage, and application layers
- Design and present technical proposals, reference architectures, and proof-of-concept plans; conduct technical discovery sessions to assess environment readiness (space, power, cooling), workload requirements, and integration complexity
- Develop solution-level bills of materials, sizing models, and configuration specifications in coordination with Global Solutions & Architecture teams
- Coordinate ATC lab environments, proof-of-concept plans, and customer immersion sessions; lead technical execution of ATC-hosted engagements including benchmark design, performance testing, and results presentation
- Work directly with NVIDIA account-aligned resources on GPU/compute design validation, NVAIE software stack integration, and DGX/HGX configuration optimization
- Collaborate with cloud and infrastructure partner teams (AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data) on hybrid and multi-cloud AI architecture design
- Bridge pre-sales and delivery: ensure architectures are feasible, scoped accurately, and documented for clean handoff; participate in scope reviews and SOW validation with the AI Services Consultant
- Operate as an integrated POD member – weekly cadence, joint pipeline reviews, account planning – and as a trusted AI resource embedded with regional field sales teams
- Deliver technical AI training, architecture overviews, and enablement sessions that build field team confidence in qualifying AI opportunities
Required Qualifications
- 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 – able to whiteboard an end-to-end AI architecture from GPU cluster design through networking, storage, software stack, 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 – technical engagement exists 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 at a top-tier solutions provider, related OEM, or cloud provider
- Experience designing AI Factory / GPU cluster architectures at enterprise scale
- Familiarity with WWT's Advanced Technology Center model and lab-led selling methodology
- Master's or advanced degree in technology, analytics, or business
Key Competencies
- Architectural Depth: Can design complete AI infrastructure stacks from first principles. Comfortable at every layer from silicon to application.
- Pre-Sales Instinct: Understands that technical engagement serves deal progression in enterprise customers. Calibrates depth to audience and deal stage.
- Communication Excellence: Translates complex architectures into clear, compelling narratives for both technical and executive audiences.
- Collaborative Teammate: Thrives in a team-selling environment. Earns the trust of field account teams by adding clear value, respecting relationship ownership, and consistently following through on commitments.
- Technical Currency: Maintains deep, current knowledge across GPU/compute, networking, storage, software stack, AI platforms, and MLOps. Invests in continuous learning.
- ATC Champion: Leverages lab environments as a competitive weapon. Designs PoCs that de-risk decisions and accelerate commitment.
- Delivery Bridge: Ensures clean handoff by documenting architectures, assumptions, and scope boundaries. Prevents re-scoping after contract execution.
