AI Architecture Governance & Insights establishes enterprise-wide AI architecture standards, patterns, and governance frameworks for RBC. We create the standards and certification criteria that ensure AI solutions are built safely, securely, and in alignment with the enterprise strategy. We deliver insights into our AI capabilities and compliance, and we partner with security, enterprise architecture, and business teams to ensure AI is built responsibly and strategically AI Architecture Governance & Insights establishes enterprise-wide AI architecture standards, patterns, and governance frameworks for RBC.

We create the standards and certification criteria that ensure AI solutions are built safely, securely, and in alignment with the enterprise strategy. We deliver insights into our AI capabilities and compliance, and we partner with security, enterprise architecture, and business teams to ensure AI is built responsibly and strategically As a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale. You'll be the architect behind our architecture practice, creating governance artifacts, maintaining CALM/Agent Card standards, supporting the AI Architecture Review Board, and building automation to surface insights across our AI estate.

You’ll work in a fast-paced workplace where priorities shift rapidly based on leadership needs, platform evolution, and emerging governance challenges. You might pivot from defining reference architectures to building a MCP server to developing compliance dashboards within the same week.

Create and maintain AI governance artifacts: patterns, standards, reference architectures, and technical whitepapers Manage CALM standard evolution and its alignment to AI platforms (Athena, Nova, Atlas) Define and evolve the AI Technical Reference Model, capability catalog, and license-to-build criteria Play a key role in the AI Architecture Review Board, including preparing materials, reviewing submissions,



and contributing architectural opinions Represent AI Architecture perspectives at broader governance forums (Technology Infrastructure and Security review boards) Partner with engineering teams to review solution designs and provide architectural guidance Deliver AI asset insights: catalog state, capability coverage, compliance metrics, and adoption trends Modernize the SafeAI process and integrate with AI platform governance Publish Architecture Decision Records (ADRs) for cross-cutting decisions Surface governance data through AI Architecture Agents Translate business and technical problems into implementable designs, then contribute hands‑on development Research emerging AI technologies and evaluate vendor solutions Drive POCs for new AI capabilities and governance approaches Technical Depth Strong grasp of AI technologies (LLMs, agents, RAG, agentic systems, AI infrastructure) Hands‑on coding ability. You must be comfortable building tools, automations, and prototypes yourself Can translate abstract requirements into concrete, implementable designs Experience creating technical standards, patterns, or reference architectures Thrive in fast-paced environments where priorities shift based on leadership asks and platform evolution Comfortable context-switching between strategic work (standards development) and tactical delivery (tool building, ARB support) build, test, iterate Passion for AI Governance Stay current with internal/external AI trends and innovation Genuine interest in making AI technology accessible, well-governed,



and production-ready Desire to build the infrastructure that enables responsible AI adoption at enterprise scale Be part of a dynamic & flexible working environment A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable Ability to make a difference and lasting impact from a local-to-global scale.

About the AI Group: RBC’s AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC’s people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations.

The Business

Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation. Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors.

Disability-related accommodations during the application process are available upon request.

Active

Learning, Application Integrations, Detail-Oriented, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC) Full time Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. #

📌 Lead Data Scientist, Data Science (Toronto)
🏢 RBC
📍 Toronto