Technical Solutions Architect I -- Computer Vision Specialist

The Computer Vision Specialist is a member of WWT’s Global Solutions & Architecture team, part of AI & Data Solutions, focused on computer vision and the machine learning behind it. Customer demand is growing across manufacturing, warehousing and distribution, energy and utilities, venues and live events, and healthcare. We are looking for someone who brings deep subject matter expertise in computer vision and computer vision machine learning and applies it effectively in sales situations: helping account teams qualify opportunities, working with customers to define the problem and how success will be measured, developing a high level design, and validating it in the WWT ATC and AI Proving Ground. This is a net new position. It reports to the AI & Data Solutions Practice Manager, has no direct reports, and works alongside the Physical AI sub team, the data science and edge AI specialists, sellers, and WWT’s computer vision partners. You will be one contributor on a team that succeeds together, sharing what you know as readily as you learn from others. Production delivery is carried out by WWT delivery teams and partners with your architectural input. 

• →Computer vision solutioning. Apply computer vision expertise to customer opportunities across the modern toolkit: classical computer vision, deep learning, video intelligence, spatial understanding, and vision language models. Translate a business problem such as safety, quality, throughput, or asset monitoring into a defined use case, the cameras and sensors it needs, the data required, the model approach, the integrations, and the metrics that will judge success. 
• →Computer vision machine learning. Guide model selection and approach for tasks such as classification, detection, segmentation, tracking, and pose estimation, including when to use pretrained or foundation models, fine tune, or train custom models. Advise on dataset curation, annotation, and synthetic data, and on how models will be evaluated, optimized for edge deployment, monitored for drift, and retrained over time. 
• →Opportunity qualification and solution design. Work with customers to gather technical requirements and develop a high level design that addresses their desired outcome. 
• →Proofs of concept and demos. Design, build, and run proofs of concept and demonstrations in the ATC and AI Proving Ground, including work on edge hardware. Be clear about what a proof of concept proved, what it did not, and what it would take to reach production. 
• →Business case. Connect the solution to measurable outcomes such as cost, quality, throughput, and risk. 
• →Partner engagement. Evaluate and work with WWT’s computer vision partners and ISVs, and NVIDIA and Intel technologies, so recommendations are neutral and defensible. 
• →Enablement and content. Share your expertise with sellers and solution architects so more of the team can carry computer vision conversations, and contribute research articles, demos, and collateral that build WWT’s presence in the market. 
• →Practice development. Contribute ideas on repeatable use cases and potential offerings.