Turn AI policy into tested engineering practice for RBC’s AI-DLC Platform, combining governance, security, and agentic systems leadership.
As Principal AI Engineer, you will define production boundaries between generated code and sanctioned agents. You will codify controls with Risk and Engineering teams, establish approvals and audit trails, and guide human-in-the-loop validation. The role also leads architecture discussions, code reviews, mentoring, hiring participation, and competency frameworks.
Key Responsibilities: Define boundaries between production code and production agents
Codify governance policy, access controls, audit trails, and approvals
Set SLAs, reliability targets, and technical risk assessments
Establish spec-driven development using spec-kit or OpenSpec
Lead reviews,



discussions, mentoring, hiring, and competency frameworks
Requirements: Proven multi-step agent architecture and orchestration expertise
Experience with tool use, memory, planning, and guardrails
Knowledge of FastAPI, gRPC, MCP, and integration contracts
Ability to translate requirements into accurate executable specifications
Experience with governance, security, testing, and validation
Lead governed AI engineering at RBC through agent controls, secure architecture, specification, validation, and technical mentorship.

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📌 Principal AI Engineering Governance Lead (Ontario)
🏢 RBC
📍 Ontario