AI Solutions Architect East Region

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 staock 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.
• Bachelors 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.

Regional travel up to 40%

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 $185000.00 to $235000.00 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.

Want to learn more about Enterprise AI Strategy & GTM Execution Check us out on our platform:

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 & Holidays Parental Leave Sick 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

#LI-MG2

Why WWT

At World Wide Technology we work together to make a new world 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 worlds 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 12000 employees across WWT and Softchoice and more than 60 locations around the world WWTs culture built on a set of core values and established leadership philosophies has been recognized 15 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 is the Enterprise AI Strategy & GTM Execution team

WWTs Enterprise AI Strategy & GTM Execution team is at the center of WWTs AI transformation responsible for leading the companys go-to-market motion across the full AI solution stack from infrastructure and platforms to consulting advisory and managed services. The team will serve as the primary bridge between WWTs enterprise AI capabilities and the customers who need them most. This is a rare opportunity to be a part of a purpose-built AI sales organization at one of the worlds leading technology solutions providers with the backing of WWTs Advanced Technology Center world-class OEM partnerships and a culture built on collaboration accountability and innovation.

What will you be doing

The AI Solutions Architect is the technical pre-sales partner within each regional AI POD. 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 working alongside the AI Solutions Executive to win deals by providing the technical depth that 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 WWTs Advanced Technology Center (ATC) and ensure that what is sold can be built scoped accurately and transitioned cleanly to delivery teams.

Success requires deep technical currency across the AI ecosystem strong communication skills that translate complexity into business-relevant narratives and an ego-free collaborative approach to co-selling with the AI Solutions Executive AI Services Consultant field account teams NVIDIA-embedded resources and WWT delivery engineering.

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 WWTs 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.