AI governance and architecture define this Lead Data Scientist role at RBC in Toronto, combining standards development with hands-on automation.

Within RBC’s Governance & Insights team, you will build standards, patterns, tools, and insights supporting AI transformation at scale. Your work spans LLMs, agents, RAG, infrastructure, and compliance. You will balance strategic architecture with practical development for AI platforms, review boards, and governance processes.

Key Responsibilities:
Create AI patterns, standards, architectures, and technical whitepapers
Maintain CALM standards across Athena, Nova, and Atlas
Support Architecture Review Board materials and submission reviews
Track Agent adherence and report governance compliance




Publish Architecture Decision Records for cross-cutting decisions

Requirements:
Robust understanding of LLMs, agents, RAG, and AI infrastructure
Hands-on coding experience building tools and prototypes
Experience with infrastructure-as-code, API design, and development practices
Experience creating standards, patterns, or reference architectures
Understanding of compliance frameworks and governance operationalization

Lead AI architecture governance at RBC through technical standards, secure designs, hands-on coding, and enterprise insights in Toronto.
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📌 Lead Ai Governance Data Scientist Toronto
🏢 RBC
📍 Toronto