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 LangGraph, CrewAI, AutoGen, 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 LangGraph, CrewAI, or AutoGen proficiency Deep LLM engineering, RAG, evaluation, and LLMOps competency Solid FastAPI, gRPC, 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