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Principal Platform Engineer, AI

Job in Renton, King County, Washington, 98056, USA
Listing for: Wizards of the Coast
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 205100 - 307600 USD Yearly USD 205100.00 307600.00 YEAR
Job Description & How to Apply Below

Wetake play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and driveto build what’s never been built before. At Hasbro and 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.

Step

Into the Multiverse:
Your Next Adventure Starts Here

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.

We are hiring a Principal Platform Engineer, AI to design, build, and operate the enterprise AI platform for Hasbro and Wizards of the Coast — the shared foundation that becomes the standard, governed path for how internal teams access and leverage AI capabilities.

What You'll Build:
  • Enterprise AI runtime:
    Model gateway, routing layer, and provider abstraction with identity‑aware access, quota controls, and end‑to‑end traceability.
  • Agent and Tool Protocol Standards: MCP and A2A as the connective tissue between agents, tools, and data sources, including authentication/authorization and security patterns for each
  • Responsible AI:
    Identity‑aware access controls, prompt management standards, evaluation frameworks, central policy controls, and safety guardrails that adjust without app‑side code changes.
  • Data and Retrieval Integration:
    Data platforms (Databricks, Snowflake, etc.) integration, grounding and context patterns that fully exploit modern model capabilities supercharged with a wealth of owned data.
  • Enterprise AI Administration:
    Own configuration, governance, and operational management of enterprise AI systems, ensuring consistent policy, auditability, and cost visibility across managed AI products.
  • Enterprise AI Operations:
    Cost attribution, rate limiting, audit telemetry, and operational monitoring designed to be operational from day one.
How You'll Succeed:

This is not a greenfield position; you'll be joining an organization where AI investment is already substantial. Structured teams are running production workloads, analytics and research organizations with deep Databricks and Snowflake investments, and yes, shadow deployments, rogue MCP servers, and bespoke integrations that teams built because there wasn't yet a useful official path. This demand and momentum, and the teams behind them, will be critical to partner with.

This role needs someone who can walk into this environment and become the clear center of gravity, not through authority but through credibility, good defaults, and a platform that is genuinely easier to use than what teams have already built. The technical work matters, but excelling in this role will depend on your ability to bring people with you.

You Will:
  • Partner across the organization to drive agreement on interface contracts, especially around MCP and A2A protocols, identity, and data access, so teams can build in parallel rather than waiting on each other.
  • Earn adoption from research, engineering, and product teams already engaged with AI, by making your path obviously better, not by mandate. You'll meet teams where they are, respect what they've already shipped, and sequence migrations with emotional intelligence.
  • Work with security, legal, and risk partners to translate AI safety from policy into running code that holds up in audit and in production.
  • Drive consensus through written design docs, evaluation results, and decision records, not through status meetings or organizational pressure.
  • Communicate at every altitude, from an on‑call incident…
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