Staff Software Engineer, AI Agent Platform

Company: Light & Wonder

Location: Austin, Texas

Type: Full-time

Posted: 2026-08-07

About this role

## Corporate:

Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.

## Position Summary

##

## About the role

Light & Wonder builds games, cabinets, and platforms behind a large share of the world’s regulated gaming floors and online casinos. We are standing up a small engineering team in Austin to build production agentic systems to address some of the least glamorous yet most valuable problems in our business.

If you have seen the forward-deployed engineering model at Palantir or at the AI labs, this is that pattern pointed inward. You’ll be embedded with a business function, learn how the work gets done, and ship a real system against it. Then you do it again somewhere else, and the platform gets richer each time.

Two of the first initiatives on our roadmap:

  • **Jurisdictional licensing.** Working in gaming means our people hold occupational licenses, frequently across many regulators at once. Every jurisdiction wants overlapping but subtly different slices of the same personal and employment history, in its own format, with real consequences for getting it wrong. There is no canonical source of truth to draw from, so this is done by hand repeatedly today. We are building agents that gather, reconcile, and pre-fill these applications, with the employee reviewing and approving before anything is submitted. It is not glamorous. It is a hard reconciliation problem wrapped around a real human cost, and fixing it gives time back to colleagues who will notice.
  • **Multimodal part discovery.** A field technician standing in front of a cabinet should be able to describe or photograph a component and get the right part number, compatibility notes, and availability. Today that lookup depends on tribal knowledge and a fragmented catalog.

Neither of these is a demo. Bo...

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