Principal Platform Engineer, AI
$205.1k - $307.6kHasbro
We take 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 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.
- 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 to a VP review - without losing precision or changing register.
- 10+ years in platform, infrastructure, or systems engineering with direct ownership of production systems used by other engineers.
- Hands-on experience building shared AI platforms, specifically with AWS Bedrock, AgentCore, and/or SageMaker, for multi-team use at scale.
- Deep familiarity with agent and tool protocols including MCP and A2A, including their authentication and security models.
- Working knowledge of enterprise identity and access control (Microsoft Entra ID, Okta) and how IAM patterns apply to AI systems and agent-to-agent communication.
- Experience integration with modern data platforms (Databricks, Snowflake, etc.) and building grounding and retrieval patterns using tool-use and function calling.
- Familiarity with enterprise AI administration platforms such as Claude for Enterprise and ChatGPT Enterprise, including governance, policy configuration, and cost management.
- Azure and/or Databricks experience is a meaningful plus, especially when in context of supporting analytics and research-heavy organizations.
- Pragmatic about AI safety; you treat guardrails as an engineering discipline rather than a compliance checkbox.
- A proven track record of driving cross-team technical adoption through credibility, clarity, and well-built defaults rather than relying on organizational authority
#Wizards
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $205,100-$307,600 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
- Health & Wellness
- Time Off to Recharge
- Financial Well-being
- Life & Family Support
- Volunteer and Community Initiatives
- Learning & Development
- Exclusive Perks
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