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.

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