Head of Enterprise AI Platform & Governance

Bank of Montreal

Chicago (IL)

On-site

USD 151,000 - 262,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans

Job summary

Bank of Montreal is seeking a hands-on, senior leader to own the core governance and control plane for a enterprise AI platform. You will architect and operate the gateway, policy engine, identity fabric, AI registry, and guardrails runtime at scale, partnering across Security, Architecture, DevOps, and domain teams.

You will lead a team that builds and operates platform capabilities with regulatory defensibility from day one, ensuring secure, compliant, and observable AI workloads

Qualifications

  • 8+ years in technical platform, infrastructure, or AI/ML engineering roles in a large enterprise.
  • Proven organizational leadership: building and scaling engineering teams, workforce planning, and squad structuring.
  • Strong mentoring and coaching to grow engineers and technical leads.

Responsibilities

  • Own the enterprise control plane and governed AI platform infrastructure.
  • Lead the design, build, and operation of policy-as-code and governance components.
  • Partner with Security, Architecture, DevOps, and domain teams to ensure operability and regulatory defensibility.

Skills

Technical leadership
Platform engineering depth
CI/CD / DevSecOps / MLOps
OpenTelemetry / Observability

Education

Bachelor's degree in Computer Science or related
Master's degree preferred

Tools

Kubernetes
GitOps
Cedar/OPA policy tooling
SPIFFE/SPIRE identity

Job description

Bank of Montreal is seeking a hands-on, senior leader to own the core governance and control plane for a enterprise AI platform. You will architect and operate the gateway, policy engine, identity fabric, AI registry, and guardrails runtime at scale, partnering across Security, Architecture, DevOps, and domain teams.

You will lead a team that builds and operates platform capabilities with regulatory defensibility from day one, ensuring secure, compliant, and observable AI workloads

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