- 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 valuable 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
- Use AI tools as part of your daily workflow to enhance productivity, problem-solving, and decision-making (e.G., drafting, analysis, coding, research, or process automation)
- Apply judgment and accountability when using AI by reviewing outputs for accuracy, bias, and quality before use
- Continuously learn and adapt as new AI tools and capabilities emerge, incorporating them into your ways of working
- Identify opportunities to improve how work gets done from personal productivity to team-level workflows by leveraging AI effectively




- Operate with strong data responsibility and security awareness, especially when working with sensitive or regulated information
- How this scales by level:
Benefits
- Flexible medical and dental plans
- Health, lifestyle, learning and family spending accounts
- 401(k) and RRSP matching programs
- Employee stock option program (ESOP)
- Flexible time off
- Generous leaves (including parental and sabbatical)- Strong track record building high-performing engineering cultures and developing senior technical talent
- Excellent communication and executive presence, with the ability to influence technical, customer, and executive audiences
- Experience leading platform engineering teams that enable multiple product and engineering organizations
- 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 understanding of the modern AI ecosystem, including emerging platform, tooling, and deployment patterns
- Experience partnering cross-functionally across Product, Data, Infrastructure, Security, and Go-to-Market teams
- Track record of delivering measurable business and operational impact through AI and platform engineering initiatives
- Strong technical judgment with the ability to balance innovation, speed, and business value
- Proven experience building and operating AI systems in production at enterprise scale
- Demonstrated experience using AI tools in a practical, responsible way
- Ability to balance efficiency with quality and sound judgment
- Curiosity and openness to experimenting with new technologies

📌 Vice President Of Ai Platform Engineering (Ottawa)
🏢 Socket.dev
📍 Ottawa