Lead AI governance for RBC by shaping architecture standards and building automation across enterprise AI platforms and capabilities.

As a Lead Data Scientist on Governance & Insights, you will establish standards, patterns, and certification criteria for protected, secure AI. You will create governance artifacts, maintain CALM and Agent Card standards, and support architecture review activities. The work combines strategic architecture with hands-on coding, tooling, and insights.

Key Responsibilities:
Create patterns, standards, reference architectures, and technical whitepapers
Manage CALM evolution across Athena, Nova, and Atlas
Support the AI Architecture Review Board
Track Agent adherence and report compliance
Build governance tools,



Agents, and MCPs

Requirements:
Solid understanding of LLMs, agents, RAG, and AI infrastructure
Hands-on coding, automation, and prototyping ability
Experience with infrastructure-as-code and API design
Experience creating standards, patterns, or reference architectures
Understanding of compliance frameworks and governance operations

Apply AI architecture, hands-on development, and governance expertise to support responsible enterprise adoption at RBC.
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📌 Lead Ai Governance Data Scientist Toronto (Canada)
🏢 Royal Bank of Canada
📍 Canada