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.

#J-18808-Ljbffr

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