Principal Software Engineer Renton, Washington

Wetake play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.

At Wizards of the Coast
, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it’s through the strategic depth of Magic:
The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we’re seeking passionate, curious, and innovative minds to join the adventure.

The Digital Innovations Team (DigIT) is changing how Wizards develops, delivers, and manages the digital systems behind our games — for players, retailers, and the studios that develop our worlds. We are seeking a Principal Software Engineer who can guide product ideas through every stage with agentic AI — from defining the problem with business partners, to developing the system, to deploying it in production, and then improving it based on actual data.

This job is not for those who have only observed AI changes from a distance. We need a hands‑on creator. Someone who has directly shipped product to production by agentic AI, can provide the code and performance assessments, and can discuss in detail what was successful, what did not succeed, and what they would do differently. If your AI experience is primarily slides and architectural drawings, this is not the right role.

You will be responsible for the technical direction of an initiative and the related product surface area, direct tech direction and product direction with/without PM support. You are answerable for what the team delivers, how quickly it adapts, and the business outcomes that result.

You will build products using agentic AI as your default development approach, leveraging the harness engineering and guardrails the team has developed. You contribute to evolving these patterns alongside peers, but your primary focus is shipping product. You understand where the technology performs well versus where it only demos effectively. You have informed opinions based on production experience about evaluations, guardrails, cost, latency, determinism, and the engineering methods needed to deliver AI products responsibly at scale.

• Guide product concepts through the entire process with agentic AI. Starting from outlining the problem alongside product and business collaborators, moving to prototype development, to a data‑informed launch, and then refining based on actual usage data. You are responsible for the full journey, not only a segment of it.
• Build, hands‑on with agentic AI. Keep close to the code. Deliver production‑quality agent systems, analyses, prompts, and supporting services on your own. Define the reference point through achievements, not words.
• Direct the build process through data‑driven insights. Lead product ideas as testable hypotheses. Initiate tracking early and confirm success criteria with or without the PM before beginning coding. Base decisions on actual data concerning what to prioritize, change, or remove. Ensure the feedback loop is as short as feasible.
• Contribute to the department’s agentic AI harness engineering alongside peers. Apply, stress‑test, and improve shared patterns — LLMs, agents, Skills, MCP, eval frameworks, guardrails — through real production use. Bring back what works and what doesn’t from the field.
• Move fluidly between Player, Retailer, Studio/Internal, and Data verticals as needed. Bring patterns and platform thinking from one team to the others;…