Director, AI Platform Engineering
Core
Lead the build and operation of the core infrastructure (AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails Runtime, Observability) that governs, enforces, and scales enterprise AI workloads at BMO.
Role type
Director, Enterprise AI Platform Engineering
Builds
Enterprise-grade AI control plane, policy-as-code infrastructure, multi-cloud gateway runtime, and audit-ready observability pipelines.
Domain
Financial Services / Enterprise AI Platform Engineering
Deliverable
production ML models | infrastructure
Required skills
Organizational leadership, team scaling, GenAI platform engineering, policy-as-code (Cedar/OPA), workload identity (SPIFFE/SPIRE), observability engineering, multi-cloud architecture, CI/CD/DevSecOps/LLMOps
Preferred skills
Model-risk management, financial-services regulatory knowledge, executive communication
Technologies
Cedar, OPA/Rego, GitOps, SPIFFE, SPIRE, OpenTelemetry, AWS, Azure, Kubernetes, Bedrock, Azure OpenAI, SageMaker, Databricks, MLflow, LangChain
Responsibilities
Design and operate the AI Gateway and Guardrails Runtime for inline enforcement; build a federated AI Registry with self-service onboarding; establish policy-as-code distribution and simulation environments; produce runtime evidence for regulatory compliance; scale the engineering team from a core group to steady-state.
Seniority
Director, hands-on technical leader
