> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Lead Agentic AI Engineer

Canonical URL: https://nextmove.md/fde/jobs/3ed1b14b4e560709

Royal Bank of Canada posts a staff FDE role to build for teams inside the company in Minneapolis, MN, at $100,000–$170,000 base, below the staff+ FDE median of $225,000 across 388 postings with pay. Lead agentic AI initiatives for Wealth Management, partnering with Financial Advisors to identify and build high-value AI workflows. Read from the employer’s posting on November 6, 2026.

- [Royal Bank of Canada](https://nextmove.md/fde/companies/royal-bank-of-canada)

First seen Aug 7, 2026 · open on Workday as of Nov 6, 2026

**$100,000–$170,000** Minneapolis, MN Full-time

Lead agentic AI initiatives for Wealth Management, partnering with Financial Advisors to identify and build high-value AI workflows.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3ed1b14b4e560709&placement=top)
- [View posting at Royal Bank of Canada](https://rbc.wd3.myworkdayjobs.com/rbcglobal1/job/Minneapolis-Minnesota-United-States-of-America/Lead-Agentic-AI-Engineer_R-0000182936-2)

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## At a glance

### Posted base pay

$100K–$170K Below the median

Midpoint $135K · median $225K

This job $100K to $170K. Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds for teams inside the company

Balance **Mixed**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations

Travel **Up to 25%**

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Staff+

- **Role**: People manager

### What they ask for

Experience

- **8+ years** total engineering experience
- **2+ years** building agentic or LLM systems

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The job is in Minneapolis, MN. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Minneapolis, MN

- **Employment type**: Full-time

- **Travel**: Up to 25%

- **Pay**:

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## The job description from Royal Bank of Canada

### 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

2026-08-29

**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

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

[View posting at Royal Bank of Canada](https://rbc.wd3.myworkdayjobs.com/rbcglobal1/job/Minneapolis-Minnesota-United-States-of-America/Lead-Agentic-AI-Engineer_R-0000182936-2)

## About Royal Bank of Canada

Canada's largest bank, serving 19M+ clients across personal/commercial banking, wealth management, insurance, and capital markets in 29 countries.

Public · 5000+ people

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