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:

- Solid 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.

📌 Lead AI Governance Data Scientist (Toronto)
🏢 ODAIA
📍 Toronto