Principal Agentic AI Platform Engineer

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
• Strong 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.