Principal AI Platform Engineer: Governance & Guardrails

BMO

United States

Remote

USD 86,000 - 185,000

Full time

14 days+

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Job summary

BMO is seeking a Principal/Senior Engineer for the AI Platform and Fabrics group. This build-and-run role focuses on the governance and runtime evidence layer across AI platforms, including the AI Gateway, Policy Engine, and Observability.

You will own end-to-end platform capabilities in production across AWS and Azure, with on-call responsibilities. The ideal candidate has 8+ years of platform engineering experience, strong distributed systems fundamentals, and deep skills in Python/Go,

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related field.
  • 8+ years of software/platform engineering experience at scale.
  • Experience operating production infrastructure with on-call ownership.

Responsibilities

  • Own capabilities end to end: design, implement, test, ship, and operate production infrastructure.
  • Engineer for operability with instrumentation, SLOs, latency budgets, and audit trails.
  • Build APIs, interfaces, and integrations for domain and enterprise systems.
  • Implement policy enforcement, guardrails, identity attestation, and audit as core concerns.
  • Ensure runtime evidence connects AI activity to policy, identity, and lineage.
  • Mentor teammates and raise engineering standards.

Skills

Distributed systems
Python/Go
AWS/Azure
CI/CD DevSecOps
GitOps

Education

Bachelor’s degree in Computer Science or Software Engineering
Master’s degree preferred

Tools

Jira
Confluence
Kubernetes
Terraform
CloudFormation/ARM

Job description

BMO is seeking a Principal/Senior Engineer for the AI Platform and Fabrics group. This build-and-run role focuses on the governance and runtime evidence layer across AI platforms, including the AI Gateway, Policy Engine, and Observability.

You will own end-to-end platform capabilities in production across AWS and Azure, with on-call responsibilities. The ideal candidate has 8+ years of platform engineering experience, strong distributed systems fundamentals, and deep skills in Python/Go,

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