Forward Deployed Specialist, Physical AI

Qualifications

• Builds the working system for each engagement phase. Ingests footage, curates and labels data, trains and evaluates models on the platform, deploys inference to the edge or cloud, and iterates with the customer until the output is trusted.

• Works fluently in the platforms' SDKs, APIs and workflow tools. Knows when the no / low-code path is enough and when to drop to code. Contributes reusable connectors, scripts and workflow templates back to the team.

• Connects to the customer's existing camera estate over RTSP or ONVIF and through their video management system. Integrates detections and events with the systems operators already use.

• Builds the alert logic, dashboards and reports that turn model output into something a line supervisor or field operations lead acts on. Tunes thresholds with the people who receive the alerts.

• Packages and deploys models to NVIDIA Jetson, on-prem GPU servers or cloud endpoints, including containerization, ONNX or TensorRT conversion, monitoring and rollback.

• Spends extended time at customer facilities during prototype and pilot phases. Understands the floor, learns the process, and adjusts camera placement, zones and event definitions with the operations team.

• Owns the retraining loop during the pilot. Diagnoses errors, pulls hard examples back into the training set, and documents the retraining triggers the customer inherits.

• Delivers runbooks, architecture notes, deployment scripts and a monitoring setup so the customer or WWT managed services can operate the system independently.

• Runs the hands-on portion of platform evaluations with the Solution Architect and product leadership, standing up the trial, loading the test dataset, executing the scoring scenarios and recording what broke.

• Builds and maintains demo environments and reference builds in the ATC and AI Proving Ground that sales and delivery teams can reuse.

• Extends the same build pattern into digital twin, simulation and robotics engagements, including synthetic data, simulation environments and robot or AMR integration alongside partners.

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 $126,000 to $158,000  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 are not included in the base pay.  

The well-being of WWT employees is essential. 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 (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
• Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits. For more information, see our US benefits website at wwt.com/us-benefits.

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 require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.

World Wide Technology is an Equal Opportunity Employer.

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 Forward Deployed Specialist is the builder on the ground for WWT's Physical AI engagements, from the first prototype through a pilot running in the customer's environment. Where the Solution Architect owns the design, this role makes it work on real cameras and sensors, in a real plant or substation or stadium, with real operators watching the output. Perception comes first in Physical AI. Everything downstream, from an alert to a digital twin to a robot, is only as good as the visual data it receives, and the engineer is the person who finds out on day one whether the cameras can actually see what the use case needs.

The specialist works primarily on enterprise vision AI platforms, the kind that cover data curation, labeling, training, deployment and monitoring in one tool, using their SDKs and APIs when the engagement needs custom work and their low-code interfaces when it does not. The job is to wire the platform into the customer's cameras, sensors and existing systems, get a model trained and deployed on the customer's data, build the alerting and reporting that operations teams will actually use, and hand the result off to production with documentation someone else can run from. As the team grows, the same seat extends into digital twin, simulation and robotics engagements.

This is a hands-on builder role for someone comfortable prototyping a working example of an idea generated days earlier and staying with it until it runs in production. The raw material is video, sensor data, edge hardware and the operational systems a facility already runs on.

Job Responsibilities

• Builds the working system for each engagement phase. Ingests footage, curates and labels data, trains and evaluates models on the platform, deploys inference to the edge or cloud, and iterates with the customer until the output is trusted.

• Works fluently in the platforms' SDKs, APIs and workflow tools. Knows when the no / low-code path is enough and when to drop to code. Contributes reusable connectors, scripts and workflow templates back to the team.

• Connects to the customer's existing camera estate over RTSP or ONVIF and through their video management system. Integrates detections and events with the systems operators already use.

• Builds the alert logic, dashboards and reports that turn model output into something a line supervisor or field operations lead acts on. Tunes thresholds with the people who receive the alerts.

• Packages and deploys models to NVIDIA Jetson, on-prem GPU servers or cloud endpoints, including containerization, ONNX or TensorRT conversion, monitoring and rollback.

• Spends extended time at customer facilities during prototype and pilot phases. Understands the floor, learns the process, and adjusts camera placement, zones and event definitions with the operations team.

• Owns the retraining loop during the pilot. Diagnoses errors, pulls hard examples back into the training set, and documents the retraining triggers the customer inherits.

• Delivers runbooks, architecture notes, deployment scripts and a monitoring setup so the customer or WWT managed services can operate the system independently.

• Runs the hands-on portion of platform evaluations with the Solution Architect and product leadership, standing up the trial, loading the test dataset, executing the scoring scenarios and recording what broke.

• Builds and maintains demo environments and reference builds in the ATC and AI Proving Ground that sales and delivery teams can reuse.

• Extends the same build pattern into digital twin, simulation and robotics engagements, including synthetic data, simulation environments and robot or AMR integration alongside partners.