Director, Enterprise AI Platform Engineering Job Description BMO is building a dedicated AI Engineering function to deliver the platform capabilities that make enterprise AI safe, governed, and scalable across our business domains and regulatory regimes. We are seeking an experienced technical leader to own the core infrastructure that governs and enforces how AI runs at BMO - the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails Runtime, and AI Observability.
This is a build-and-run leadership role. You will lead a team that designs, ships, and operates the control and orchestration infrastructure sitting between policy authoring and inline enforcement — the capabilities every AI workload at BMO consumes to be secure, compliant, and observable. You will not own the AI models or applications themselves (those are domain-owned); you own the governed platform they run on , and the runtime evidence that proves they run within policy.
You are a hands‑on technical leader who has built platform capabilities at scale, operates what you build, and designs for operability and regulatory defensibility from day one. You blend deep engineering credibility with the executive presence to partner across Security, Architecture, DevOps, and domain teams. You are energized by taking real engineering assets — an existing developer portal, AI registry,



a body of policy-as-code, and gateway integrations — and formalizing, scaling, and governing them into an enterprise‑grade platform.
What You'll Own Enterprise Control Plane Developer Portal & AI Registry - productionize the developer portal; deliver a federated AI Registry spanning agents, models, tools, channels, and evaluations, with self-service onboarding and lifecycle workflows.
Policy Engine - policy-as-code infrastructure (Cedar/OPA), a policy compilation and GitOps distribution pipeline, risk-tiered approval workflows, and a policy simulation setting.
Observability & Audit - a multi-pipeline architecture spanning operational, security, and compliance telemetry; OpenTelemetry GenAI conventions; cross-pipeline trace correlation; and a tamper-evident audit lake producing regulator-ready evidence.
Governance & Lifecycle - certification workflows, automated compliance scoring, decommission governance, and evidence generation for architecture and model-risk review.
Domain Orchestration Gateway Runtime - domain-hub deployment across multiple clouds; an inline enforcement engine with request-time policy evaluation, routing, residency, budget/quota controls, and circuit breakers, operating within strict latency budgets.

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📌 Director, AI Platform Engineering - bmo (Ontario)
🏢 OpenTalent
📍 Ontario