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Lead Solution Architect, Physical AI

Job in Maryland Heights, St. Louis city, Missouri, 63043, USA
Listing for: World Wide Technology
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 175000 USD Yearly USD 140000.00 175000.00 YEAR
Job Description & How to Apply Below
Location: Maryland Heights

Why WWT?

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe. Founded in 1990, WWT brings together strategy, deep technical expertise and world‑class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions.

Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state‑of‑the‑art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities. With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all.

WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

Job Summary

The Lead Solution Architect, Physical AI is the technical owner of WWT's Physical AI engagements, accountable for the design and delivery of systems that perceive the physical world through cameras and sensors, understand what is happening and act on it through people, workflows, machines and robots. The work spans computer vision, digital twin, and robotics, with perception as the foundation for all of it.

This role scopes the first phase of each engagement with the account team, selects the platform and reference architecture, and ensures the customer's data, labels and model weights remain portable regardless of platform, so WWT is always the architect of record no matter who builds each piece. The role requires deep experience taking computer vision and machine learning systems from pilot to production in real operating environments, where lighting, weather, camera conditions and network behavior differ from the demo, along with the judgment to set technical standards other engineers follow.

The Lead Solution Architect works alongside engineers, collaborates with product and account leadership on platform evaluations and engagement standards, and sets the technical direction for Physical AI engineers as the team grows.

Job Responsibilities
  • Owns the end-to-end technical design for each Physical AI engagement, from camera and sensor ingest through labeling, training, deployment, alerting and monitoring, and, as engagements mature, simulation and robot integration. Signs off on the design whether WWT or a partner builds each piece.
  • Partners with the account team to scope the first phase of an engagement, confirming the sponsor, the measurable outcome, camera and data readiness, and a clear path to a repeatable offer. Writes the technical sections of the statement of work and estimates the effort.
  • Chooses the platform and reference architecture for each engagement from WWT's partner portfolio and documents why. Escalates when the fit is wrong.
  • Designs so the customer's data, annotations and model weights can leave any platform WWT uses. Specifies export formats, model formats such as ONNX and TensorRT, and the handoff artifacts WWT delivers at the end of each phase.
  • Runs structured evaluations of candidate platforms with the Product Director: defines the test dataset and scoring dimensions, executes the trials in the ATC and writes the recommendation.
  • S…
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