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RBC

Lead Agentic AI Engineer

RBC is hiring a Lead Agentic AI Engineer in Minneapolis, United States. It pays $100k-$170k a year and Level rates it ; you can apply on RBC.

Level's read on this job

  • Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
  • The posting mentions Python, FastAPI and Pydantic among its tools and skills.
  • Level classes it as a lead role.
  • RBC has 788 other open roles on Level.

AI in this role

Lead the development of agentic AI workflows and multi-agent systems to transform financial advisor productivity.

PythonFastAPIPydantic
ragai-agentsai-automationnlpagentic-workflowsprompt-engineeringmulti-agent-systemsorchestration

Job Description

What is the opportunity?

The Agent Lead sits at the forefront of transforming Financial Advisor productivity through agentic AI workflows—bridging business problems with intelligent automation. This is a high-ambiguity, rapid experimentation role where you'll define how vendor agents, enterprise frameworks, and internally developed agents coexist and interoperate within a governed ecosystem. 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.

What will you do?

  • 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. deterministic automation

  • Lead rapid POC development cycles with authority to "fail fast / scale fast," designing multi-agent interactions across vendor agents (CRM/Agentforce), enterprise agents, and native/internal agents

  • Act as Product Owner for agentic workflows—owning use case shaping through validated solution patterns, defining success metrics, and driving iteration based on advisor feedback and usage telemetry

  • Establish reusable agent design patterns including prompting strategies, orchestration, memory models, tool usage, and escalation paths in collaboration with AI Engineering

  • Engage with enterprise stakeholders (Borealis, architecture, and platform teams) to align with approved agentic frameworks, standards, and governance requirements

  • Manage and develop Context Engineers/Prompt Engineers, establishing best practices in context design, retrieval strategies, and agent behavior tuning

  • Travel (~25%) to branches and field locations to observe advisor workflows, identify friction points, validate usability, and drive adoption of agentic solutions

What do you need to succeed?

Must-have:

  • 8–10 years total engineering experience — with 2–3+ years specifically building agentic or LLM systems (not just prototypes)

  • Hands-on RAG architecture — chunking tradeoffs, retrieval failures, evaluation

  • Built or extended tool integration layers connecting LLM agents to external systems

  • Strong Python backend — FastAPI, async, Pydantic, streaming responses

  • Proven experience building and deploying agentic AI solutions (multi-agent systems, orchestration frameworks, tool-using agents)

  • Strong understanding of agent frameworks, architectures, memory models, tool integration, and event-driven agents

  • Demonstrated ability to operate as a builder + product owner hybrid with strong judgment on when to use AI vs. when not to

  • Experience designing workflow-driven automation and working across business, engineering, and enterprise governance functions

  • Leadership experience managing technical talent and excellent stakeholder engagement skills for "side-of-desk" collaboration

Nice-to-have:

  • Experience in Wealth Management or Financial Services, particularly with advisor workflows

  • Familiarity with CRM-based agent platforms (Salesforce Agentforce) and event-driven architectures

  • Understanding of AI risk, model governance, explainability frameworks, and human-centered design

What's in it for you:

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.

  • Leaders who support your development through coaching and managing opportunities.

  • Ability to make a difference and lasting impact.

  • Work in a dynamic, collaborative, progressive, and high-performing team.

  • Opportunities to do challenging work.

  • Opportunities to build close relationships with clients.

The expected salary range for this particular position is $100,000 - $170,000, depending on your experience, skills, and registration status, market conditions and business needs.

You have the potential to earn more through RBC’s discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

  • Drives RBC’s high-performance culture

  • Enables collective achievement of our strategic goals

  • Generates sustainable shareholder returns and above market shareholder value

LI-POST

TECHPJ

Job Skills

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)

Additional Job Details

Address:

250 NICOLLET MALL:MINNEAPOLIS

City:

Minneapolis

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-07

Application Deadline:

2026-11-20

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. 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.

Join our Talent Community

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

How we rate this

Lead Agentic AI Engineer at RBC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI AutomationNLPAgentic WorkflowsPrompt engineeringMulti Agent SystemsOrchestration

Also common in AI engineer jobs at this level

Pay

This job starts at
$100k
Typical AI engineer job
$184k

This posting starts 46% below the typical AI engineer job. See AI engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a workflow you automated with AI tools, end to end.
  4. What NLP problem have you worked on, and how did you measure whether it actually worked?
  5. Tell me about a project where agentic workflows was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Automation, NLP, and Agentic Workflows. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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