Agentic AI Engineer & Product Lead

RBC; Minneapolis (MN); On-site; USD 100,000 - 170,000; Full time

Job summary

RBC Minneapolis seeks an Agent Lead to transform Financial Advisor productivity via agentic AI workflows. You will bridge business problems with intelligent automation in a governed ecosystem, shaping reusable agentic patterns across Wealth Management.

You’ll own use case shaping, success metrics, and iteration with advisor feedback, while leading a team of Context/Prompt Engineers and collaborating with AI Engineering to scale solutions. This is a product-minded builder role.

Qualifications

• 8–10 years total engineering experience with 2–3+ years building agentic or LLM systems
• Hands‑on RAG architecture including retrieval and evaluation
• Built or extended tool integration layers connecting LLM agents to external systems
• Strong Python backend: FastAPI, async, Pydantic, streaming responses
• Proven experience with agentic AI solutions and multi-agent orchestration
• Knowledge of agent frameworks, memory models, tools integration, event-driven agents
• Hybrid builder + product owner with sound AI vs. non-AI judgment
• Experience designing workflow‑driven automation across business, engineering, governance
• Leadership experience managing technical talent and stakeholder engagement

Responsibilities

• Partner with Financial Advisors and leadership to identify high-value agentic workflows
• Lead rapid POC cycles and design multi-agent interactions across vendor and internal agents
• Act as Product Owner for agentic workflows and define success metrics
• Establish reusable agent design patterns including prompting, orchestration, and memory
• Collaborate with architecture and governance teams to align with standards
• Develop Context/Prompt Engineers and promote best practices in the field
• Travel ~25% to observe workflows and drive adoption of agentic solutions

Skills

Agentic AI workflows

LLM systems

Python backend

FastAPI

Pydantic

Multi-agent systems

Tool integration

Memory models

Event-driven architectures

Stakeholder engagement

Tools

Salesforce Agentforce

Job description

RBC Minneapolis seeks an Agent Lead to transform Financial Advisor productivity via agentic AI workflows. You will bridge business problems with intelligent automation in a governed ecosystem, shaping reusable agentic patterns across Wealth Management.

You’ll own use case shaping, success metrics, and iteration with advisor feedback, while leading a team of Context/Prompt Engineers and collaborating with AI Engineering to scale solutions. This is a product-minded builder role.