22 hours ago
Toronto, CanadaStaff+
Responsibilities
- Partner with Financial Advisors, field leadership, and business stakeholders to identify agentic workflow opportunities and assess AI versus deterministic automation.
- Lead rapid POC development and design multi-agent interactions across vendor, enterprise, and internally developed agents.
- Act as Product Owner for agentic workflows, owning use-case shaping, success metrics, validation, and iteration based on feedback and telemetry.
- Establish reusable patterns for prompting, orchestration, memory, tool usage, retrieval, and escalation paths.
- Build and deploy agentic AI solutions, including RAG architectures, tool integration layers, and event-driven agents.
- Coordinate with architecture, platform, enterprise, and governance teams to align with approved frameworks and standards.
- Manage and develop Context Engineers and Prompt Engineers and establish best practices for context design and agent behavior tuning.
- Travel approximately 25% to branches and field locations to observe workflows, validate usability, and drive adoption.
Requirements
- 8–10 years of total engineering experience, including 2–3+ years specifically building agentic or LLM systems beyond prototypes.
- Hands-on experience with RAG architecture, including chunking tradeoffs, retrieval failures, and evaluation.
- Experience building or extending tool-integration layers that connect LLM agents to external systems.
- Strong Python backend development skills with FastAPI, async programming, Pydantic, and streaming responses.
- Proven experience building and deploying multi-agent systems, orchestration frameworks, and tool-using agents.
- Strong understanding of agent frameworks, architectures, memory models, tool integration, and event-driven agents.
- Experience operating as a builder and product-owner hybrid with sound judgment about when to use AI.
- Experience designing workflow-driven automation across business, engineering, and enterprise governance functions.
- Leadership experience managing technical talent and strong stakeholder-engagement skills.
- Wealth Management or Financial Services experience, especially with advisor workflows, is preferred.
- Familiarity with CRM-based agent platforms such as Salesforce Agentforce and event-driven architectures is preferred.
- Understanding of AI risk, model governance, explainability frameworks, and human-centered design is preferred.
Benefits
- Comprehensive total rewards program with flexible benefits, including 401(k) matching contributions, health, dental, vision, life, and disability insurance.
- Paid time off and opportunities for coaching, development, and management support.
- Full-time, regular salaried employment based in Toronto, with approximately 25% travel to branches and field locations.
- Opportunity to work on challenging agentic AI initiatives and build relationships with clients and stakeholders.
Tech Stack
FastAPIPython
Categories
About RBC
Royal Bank of Canada (RBC) provides personal and commercial banking, payments, mortgages, investing, wealth management, insurance, and capital markets services to consumers, businesses, and institutions. The public company, headquartered in Toronto and founded in 1864, serves more than 17 million clients across Canada, the U.S., and other global markets. Revenue comes from interest income, fees, advisory, and trading across its diversified financial services businesses, and it is Canada’s largest bank by market capitalization.