What's the chance?

RBC's AI Group is building the reusable patterns that help teams across the organization design, build, and ship AI agents faster. We're seeking a Staff AI Engineer to design and build these patterns agent identity, context abstraction, and a standardized data and analytics framework that feeds a central evaluation engine for agent reliability. This includes leveraging agent exhaust data to power an analytics engine built for reuse, discoverability, and value generation across teams. This hybrid role combines hands‑on AI and agent development with full‑stack ownership, for someone who wants to give AI builders across the organization the tools to move from idea to shipped agent faster.

What's the opportunity?

RBC's AI Group is building the reusable patterns that help teams across the organization design, build, and ship AI agents faster. We're seeking a Staff AI Engineer to design and build these patterns agent identity, context abstraction,



and a standardized data and analytics framework that feeds a central evaluation engine for agent reliability. This includes leveraging agent exhaust data to power an analytics engine built for reuse, discoverability, and value generation across teams. This hybrid role combines hands‑on AI and agent development with full‑stack ownership, for someone who wants to give AI builders across the organization the tools to move from idea to shipped agent faster.

Your responsibilities will include:

- Designing and building agentic and AI-driven logic including LLM-as-judge and rubric-driven prompting patterns that turns raw platform data into decision-ready signals for the business
- Building and orchestrating agentic workflows designing multi-step agents, tool integrations, and evaluation harnesses that reliably automate complex, governance-sensitive tasks beyond single-shot prompting.
- Building full-stack backend services

📌 Staff AI Engineer (Toronto)
🏢 RBC
📍 Toronto