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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Architect - **Company:** World Wide Technology - **Location:** Roseland, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Layers, Microsoft Azure, Cloud Computing, Cloud Engineering, Nvidia CUDA, NetApp Applications, Tensorflow, Azure Machine Learning, AI Infrastructure, Google Cloud, Enterprise Software Applications, Performance Testing, IT Architecture, Multi-Cloud, AI Platforms, Pure Storage, Information Technology, Data Management, Machine Learning Operations, Cisco - **Published:** November 10, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-solutions-architect-roseland-nj--463518c2-8177-498b-a96a-2c7470f11b3e ## About the Role Artificial Intelligence (AI), Leading Edge Technology, Customer Support/Service, Team Player, Artificial Intelligence (AI), Ecosystems, Distribution Warehousing, Leadership, Consulting, Technical Sales, * 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 ## Description 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!, 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, * 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.