Principal Ai Platform Governance Architect

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 managementImplement RBAC, tiered permissions, and identity controls with IAMMonitor platform usage, AI spend, application health, and performanceMaintain the audit-ready enterprise AI Asset RegistryContain incidents, safety breaches, failures, and governance exceptionsRequirements:
Bachelor’s or Master’s degree in a related technical disciplineFive-plus years supporting production machine learning deploymentsFive-plus years in cloud infrastructure and information systemsHands-on enterprise LLM administration, APIs, RBAC, and cost managementAdvanced MLOps, orchestration, observability, and DevOps knowledgeBring platform administration, MLOps, observability, and governance expertise to AI operations at ATB.
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