Lead AI Platform Engineer — Governance & Guardrails

BMO; Chicago Heights (IL); On-site; USD 112,000 - 209,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plan

Job summary

BMO is seeking a Principal/Senior Engineer to build and operate enterprise AI platform capabilities across the AI Gateway, Policy Engine, Identity Fabric, AI Registry, and Guardrails Runtime.

You will own end-to-end platform capabilities, ensuring operability, latency and regulatory evidence, with on-call responsibility across AWS and Azure. Strong emphasis on policy, identity, observability, and governance in a regulated bank.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (Master’s preferred).
• 8+ years of software/platform engineering experience at enterprise scale.
• Experience operating production infrastructure with real SLOs and on-call ownership in a regulated industry preferred.

Responsibilities

• Own capabilities end to end: design, implement, test, ship, and operate production infrastructure.
• Engineer for operability and defensibility from day one: instrumentation, SLOs, latency budgets, failure modes, and runtime evidence built in.
• Build the APIs, SD’able interfaces, and integrations through which domains and enterprise systems consume platform capabilities.
• Implement policy enforcement, guardrails, identity attestation, and audit as first-class engineering concerns.
• Ensure every capability produces runtime evidence connecting AI activity to policy enforcement, identity, and lineage.
• Mentor and raise the bar: set engineering standards, review designs and code, and grow depth across the team.

Skills

Distributed systems

Platform engineering

Cloud native

Python

Go

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Azure

Kubernetes

OpenTelemetry

GitOps

CI/CD

Terraform

Job description

BMO is seeking a Principal/Senior Engineer to build and operate enterprise AI platform capabilities across the AI Gateway, Policy Engine, Identity Fabric, AI Registry, and Guardrails Runtime.

You will own end-to-end platform capabilities, ensuring operability, latency and regulatory evidence, with on-call responsibility across AWS and Azure. Strong emphasis on policy, identity, observability, and governance in a regulated bank.