The Agent Lead sits at the forefront of transforming Financial Advisor productivity through agentic AI workflows - bridging business problems with intelligent automation. This is not a pure engineering role - it's a product-minded builder role that shapes, validates, and scales agentic patterns reusable across Wealth Management. Partner directly with Financial Advisors, field leadership, and business stakeholders to identify high-value agentic workflow opportunities and evaluate when AI is the right solution vs.

Lead rapid POC development cycles with authority to "fail fast / scale rapid," designing multi-agent interactions across vendor agents (CRM/Agentforce), enterprise agents, and native/internal agents Establish reusable agent design patterns including prompting strategies, orchestration, memory models, tool usage, and escalation paths in collaboration with AI Engineering Travel (~25%) to branches and field locations to observe advisor workflows, identify friction points, validate usability, and drive adoption of agentic solutions 8-10 years total engineering experience - with 2-3+ years specifically building agentic or LLM systems (not just prototypes) ~ Strong Python backend - FastAPI, async, Pydantic, streaming responses ~ Proven experience building and deploying agentic AI solutions (multi-agent systems, orchestration frameworks, tool-using agents) ~ Demonstrated ability to operate as a builder + product owner hybrid with strong judgment on when to use AI vs.



Leadership experience managing technical talent and excellent stakeholder engagement skills for "side-of-desk" collaboration Familiarity with CRM-based agent platforms (Salesforce Agentforce) and event-driven architectures Understanding of AI risk, model governance, explainability frameworks, and human-centered design We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.

Actuarial

Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language) Employment Type: Full time Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. #

📌 Lead Agentic AI Engineer (Toronto)
🏢 RBC
📍 Toronto