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 governanceDefine autonomy models, controls, approvals, and evidence requirementsDesign multi-agent workflows with planning, memory, tools, and guardrailsOperate auditable promotion pipelines through Harness and HeliosTrack adoption,



quality, security, cycle time, usage, and ROIRequirements: Proven production expertise with agentic AI architecturesHands-on Lang Graph, Crew AI, or Auto Gen proficiencyDeep LLM engineering, RAG, evaluation, and LLMOps competencyStrong Rapid API, g RPC, MCP, CI/CD, Docker, and Kubernetes capabilityExperience with cloud providers and enterprise platformsShape RBC’s AI-DLC Platform through agentic architecture, LLMOps, governed delivery, and measurable enterprise engineering outcomes.#J-18808-Ljbffr

📌 Principal Agentic Ai Platform Engineer (Toronto)
🏢 RBC
📍 Toronto