Lead agentic AI architecture for RBC’s AI-DLC Platform, defining governed automation, production boundaries, and enterprise-scale engineering standards.
As Principal AI Engineer, you will own the platform’s technical direction and 12–18 month roadmap. You will guide hybrid skills, agents, and software-factory evolution. Your work spans Lang Graph, Crew AI, Auto Gen, RAG, MCP services, APIs, LLMOps, governance, and production reliability.
Key Responsibilities: Own architecture across skills, commands, agents, context, MCP, and governance
Define autonomy models, controls, approvals, and evidence requirements
Design multi-agent workflows with planning, memory, tools, and guardrails
Operate auditable promotion pipelines through Harness and Helios




Track adoption, quality, security, cycle time, usage, and ROI
Requirements: Proven production expertise with agentic AI architectures
Hands-on Lang Graph, Crew AI, or Auto Gen proficiency
Deep LLM engineering, RAG, evaluation, and LLMOps competency
Strong Rapid API, g RPC, MCP, CI/CD, Docker, and Kubernetes capability
Experience with cloud providers and enterprise platforms
Shape RBC’s AI-DLC Platform through agentic architecture, LLMOps, governed delivery, and measurable enterprise engineering outcomes.

📌 Principal agentic ai platform engineer (Toronto)
🏢 RBC
📍 Toronto