Position Summary

League is building the agentic platform for healthcare: the harness, orchestration, and runtime that turn frontier and healthcare-native models into deployed intelligence inside member-facing care experiences. This is the layer that sits between the models and the member; the one that decides what an agent can do, what it can't, how it composes with other agents, and how its work shows up in the product.

We're looking for a VP, AI Platform Engineering to lead the team that builds it. This role leads engineering for League's agentic platform — the multi-agent orchestration runtime, agent harness, evaluation and guardrail infrastructure, and the developer surface that other teams at League use to ship domain agents into production.
It is a peer to the AI Models leadership that owns the intelligence layer (Generalized Healthcare Intelligence: League's portfolio of healthcare-native SLMs), the Data Platform leadership that owns the data substrate, and the AI Product leadership that owns the consumer-grade agentic experience. Together these functions form the Data & AI First Team that owns League's bet on healthcare AI end-to-end.

• The agentic platform: You own the engineering of League's multi-agent orchestration runtime;  the harness, framework, model-routing layer, and evaluation and guardrail infrastructure that runs every agent League ships. The platform is the layer between the models and the member; how good it is determines how much intelligence League can actually deploy
• The developer surface: You own the engineering of the platform that League's teams and League's customers use to build, simulate, configure, and evaluate agents; the SDK, tooling, simulation environment, and configuration surfaces that turn the agentic harness into a product the rest of League and the market build on. Success is measured by how much agent functionality ships across League and across League's customers without going through your team
• The team: You lead the engineers and managers who build the agentic platform. Building the bench is part of the work: this org will grow with the platform, and your hiring bar will set the ceiling for what we ship
• The First Team: You sit on League's Data & AI leadership team alongside the leaders of AI Models, Data Platform, and AI Product, where the bets that decide League's healthcare AI strategy get made. The work runs both ways: shaping cross-cutting decisions on model strategy, evaluation methodology, and data contracts inside League, and carrying technical credibility into the conversations with customers and partners

What you bring:

• Proven experience building and operating AI systems in production at enterprise scale
• Experience leading platform engineering teams that enable multiple product and engineering organizations
• Strong track record building high-performing engineering cultures and developing senior technical talent
• Deep understanding of AI platform architecture, infrastructure, scalability, reliability, and operational excellence
• Pragmatic operator mindset with a focus on solving high-impact problems and shipping customer-ready solutions
• Strong technical judgment with the ability to balance innovation, speed, and business value
• Experience partnering cross-functionally across Product, Data, Infrastructure, Security, and Go-to-Market teams
• Excellent communication and executive presence, with the ability to influence technical, customer, and executive audiences
• Strong understanding of the modern AI ecosystem, including emerging platform, tooling, and deployment patterns
• Track record of delivering measurable business and operational impact through AI and platform engineering initiatives