AI platform governance and MLOps define this hybrid Principal role at ATB, averaging one to two onsite days weekly. Lead enterprise controls for models and agents.

As ATB’s Principal, AI Agent Control & Governance, you will own operational and technical accountability for AI tools, frontier models, and autonomous agents. The role combines platform administration, agent lifecycle management, access controls, observability, and cost optimization. You will operationalize governance across MLOps pipelines and agent execution environments, supporting OSFI E-23 and E-21 expectations.

Key Responsibilities

Administer enterprise LLM platforms, licensing, configurations, and lifecycle management

Implement RBAC, tiered permissions, and identity controls with IAM

Monitor platform usage, AI spend, application health, and performance





Maintain the audit-ready enterprise AI Asset Registry

Contain incidents, safety breaches, failures, and governance exceptions

Requirements

Bachelor’s or Master’s degree in a related technical discipline

Five-plus years supporting production machine learning deployments

Five-plus years in cloud infrastructure and information systems

Hands-on enterprise LLM administration, APIs, RBAC, and cost management

Advanced MLOps, orchestration, observability, and DevOps knowledge

Bring platform administration, MLOps, observability, and governance expertise to AI operations at ATB.

📌 Principal AI Platform Governance Architect (Winnipeg)
🏢 ATB Financial
📍 Winnipeg