At ATB, we exist to make it possible for our clients, team members and communities. Our purpose is more than aspirational. It's a real commitment we live every day through our values (what we call the ATB ID).

Life at ATB is about more than work. In fact, we’re consistently recognized as one of Canada's top employers thanks to our high-care, high-performance culture, upheld by the three commitments we make to our team members:

Impact in action: No matter where you are in the organization, you're empowered to make an impact in the lives of our clients and communities.

Thrive together: We want you—the unique, authentic you—to feel protected and celebrated at work. We're on a continuous journey to build the most flexible and inclusive programs.

Ready for tomorrow: We want to enable your success through interesting and challenging work, performance enablement, and learning and development.

About the role

This position has a hybrid work arrangement. On average, this means 1-2day(s) on-site per week. Please note that this is subject to change due to business priorities.

As ATB’s next Principal, AI Agent Control & Governance you will hold end-to-end operational and technical accountability for how AI tools, frontier models, and autonomous agents operate across ATB. Positioned at the intersection of AI platform engineering, autonomous system deployment, and enterprise risk oversight, this role bridges technical development, solution sponsors, and enterprise control functions.

This role encompasses two connected mandates:

1. AI Operations & Platform Administration: Leading the operationalization, core configuration, licensing, FinOps cost optimization,



and access controls for enterprise AI platforms and frontier models (e.g., Google Gemini, Anthropic Claude, OpenAI Enterprise, Microsoft Copilot).

2. AI Agent Governance & Lifecycle Management: Owning the authoritative enterprise registry for all AI agents (in intake, development, or production), maintaining runtime observability, and detecting "agents in the wild" or emerging model/agent drift risks.

The Principal will architect, execute, and scale operational AI solutions and agent governance frameworks across ATB's enterprise AI platform infrastructure. The Principal, AI Agent Control & Governance operationalizes governance requirements directly into technical workflows, MLOps pipelines, and agent execution environments. This ensures innovation velocity is maximized while maintaining audit-ready alignment with OSFI regulatory expectations (Guideline E-23 Model Risk Management, E-21 Operational Risk), enterprise risk appetites, and operational safety guardrails.

Accountabilities

- Enterprise Model & Platform Administration: Lead the operational deployment, lifecycle management, licensing agreements, and core configurations for frontier models (Google Gemini, Anthropic Claude, etc.) and enterprise productivity tools.

- IAM & Access Control: Partner directly with the Identity and Access Management (IAM)



team to implement and manage granular Role-Based Access Control (RBAC), tiered permissions, and identity controls across platforms.

- FinOps & Cost Optimization: Track, analyze, and optimize platform usage metrics and cloud/AI spend to support executive decision-making on licensing tiers and resource allocation.

- Service Level Operations (SLO/SLA): Act as the primary technical point of contact for platform configurations, API integrations, and service resolutions, maintaining adherence to defined operational SLAs and SLOs.

- Observability & Application Health: Establish monitoring systems to track AI application health using observability frameworks (logging, evaluation operations metrics, LLM latency, and performance metrics) to resolve issues proactively.

- Security Guardrails & AppSec Collaboration: In collaboration with Application Security, implement platform-level AI security guardrails and conduct risk assessments to guarantee compliance, privacy, and safety.

- Cross-Functional Model Harnessing: Partner with Data Scientists, Software Engineers, and product managers to define model harness operational requirements and track business outcomes for AI products in production.

- Enterprise Asset Registry: Own and maintain the authoritative, audit-ready AI Asset Registry capturing all models, third-party tools, API dependencies, fine-tuned foundational models, and agentic workflows across ATB.

- Discovery of Unsanctioned Systems: Identify and evaluate tooling to maintain visibility into "agents in the wild" operating outside formal intake channels.

- Agent Architecture & Guardrails: Collaborate with AI Engineering, Security, Data,

📌 Principal, AI Agent Control (Calgary)
🏢 ATB Financial
📍 Calgary