13 days ago
Base Salary
$100k - $170k/yr
Responsibilities
- Partner with Financial Advisors, field leaders, and business stakeholders to identify and evaluate agentic AI workflow opportunities.
- Lead rapid proof-of-concept development and design multi-agent interactions across vendor, enterprise, and internally developed agents.
- Act as Product Owner for agentic workflows, defining use cases, success metrics, validated solution patterns, and iteration plans.
- Develop reusable patterns for prompting, orchestration, memory, tool use, retrieval, and escalation.
- Build and extend integrations connecting LLM agents with external systems.
- Collaborate with architecture, platform, AI Engineering, and governance stakeholders on approved frameworks and standards.
- Manage and develop Context Engineers and Prompt Engineers while establishing best practices for context design, retrieval, and agent behavior tuning.
- Visit branches and field locations approximately 25% of the time 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.
- Strong Python backend development experience with FastAPI, asynchronous 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 versus deterministic automation.
- Experience designing workflow-driven automation and collaborating across business, engineering, and enterprise governance functions.
- Leadership experience managing technical talent and strong stakeholder engagement skills.
- Experience in Wealth Management or Financial Services and advisor workflows is preferred.
- Familiarity with Salesforce Agentforce, event-driven architectures, AI risk, model governance, explainability frameworks, and human-centered design is preferred.
Benefits
- Comprehensive benefits include a 401(k) with company matching, health, dental, vision, life, and disability insurance, and paid time off.
- Includes coaching and development opportunities, challenging work, client relationships, and a collaborative high-performing team environment.
- Full-time, regular salaried position based in Minneapolis, with approximately 25% travel to branches and field locations.
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.