Lead Agentic AI Engineer
AI summary of the role
Lead agentic AI initiatives for Wealth Management, partnering with Financial Advisors to identify and build high-value AI workflows.
What you’ll do
- Partner with Financial Advisors and business stakeholders to identify high-value agentic workflow opportunities
- Lead rapid POC development cycles for multi-agent systems across vendor, enterprise, and internal agents
- Act as Product Owner for agentic workflows, defining success metrics and iterating based on feedback
- Establish reusable agent design patterns (prompting, orchestration, memory, tool usage) with AI Engineering
What you’ll bring
- 8–10 years engineering experience with 2–3+ years building agentic or LLM systems
- Hands-on RAG architecture experience (chunking, retrieval failures, evaluation)
- Strong Python backend skills (FastAPI, async, Pydantic, streaming)
- Proven experience building and deploying multi-agent systems and tool-using agents
Technologies
Agentic AI · LLM · RAG · Python · FastAPI · Pydantic · Agentforce · CRM · multi-agent systems · orchestration frameworks
About Royal Bank of Canada
Canada's largest bank, serving 19M+ clients across personal/commercial banking, wealth management, insurance, and capital markets in 29 countries.
Public · 5000+ people
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