Description
This leader sets one standard way to build, secure and run AI across RBC Technology & Operations. They own the reference architecture for retrieval-augmented generation (RAG), AI agents, model access and AI-native software delivery (AI-DLC).
Responsibilities:
- Define the enterprise AI reference architecture and approved patterns.
- Converge multiple RAG solutions onto one shared platform.
- Design the sandbox standard for every agentic workload.
- Own the harness architecture from spec to release.
- Treat skills like code: owned, versioned, regression-tested with evals and retired when stale.
- Route work across frontier and open-weight models by cost, risk and jurisdiction.
- Partner with Internal Audit, Model Risk and Cyber to define human-oversight tiers.
- Chair AI architecture review, keep decision records and manage exceptions.
Requirements:
- 15+ years in architecture or engineering, including 5+ years leading architects or engineers at enterprise scale.
- Hands-on depth in LLM systems: RAG, agent frameworks, MCP, evaluation and inference serving on cloud and on-premises GPUs.
- Security architecture for AI, including the OWASP Top 10 for LLM applications, sandboxing and identity for non-human actors.
- Strong DevSecOps and SDLC background.
- Experience in a regulated industry, ideally financial services under OSFI.
Benefits:
- Comprehensive Total Rewards Program including bonuses and flexible benefits.
- Competitive compensation.
- Leaders who support your development through coaching and managing opportunities.
- Ability to make a difference and lasting impact.
- Work in a dynamic, collaborative, progressive, and high-performing team.