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Rbc Ai Jobs (NOW HIRING)

RBC Bearings

Continuous Improvement Manager

Weaverville, NC · On-site

$91K - $123K/yr

Identify, develop, and implement automation, digital solutions, and emerging AI tools to improve ... RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.

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How much do rbc ai jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for rbc ai in the United States is $43.90, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $43.03 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For Rbc Ai professionals, jobs that require complex problem-solving, emotional intelligence, and creativity are less likely to be automated. Roles such as AI specialists, data scientists, and cybersecurity analysts are expected to remain in demand due to their reliance on specialized skills and critical thinking. Continuous learning and adapting to new AI tools will be essential for job security in this field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, often involving senior roles such as AI research directors, machine learning executives, or specialized consultants. These roles usually require advanced skills in data science, programming, and experience with AI tools and frameworks, and may include bonuses or stock options that contribute to the total compensation.

How much does an AI engineer make in RBC?

An AI engineer at RBC typically earns between $80,000 and $130,000 annually, depending on experience, skills, and location. Compensation may also include bonuses and benefits, with roles often requiring knowledge of machine learning, programming, and data analysis tools.

How does the RBC AI team typically collaborate with other departments within the bank?

The RBC AI team works closely with various departments such as technology, business analytics, and product management to develop and implement AI-driven solutions. Collaboration often involves joint meetings to understand business needs, data sharing, and iterative feedback cycles to ensure that AI models align with strategic goals. Team members may also participate in cross-functional projects, gaining exposure to different aspects of banking operations. This collaborative environment fosters innovation and provides opportunities for professional growth and learning.

What is an RBC AI job?

An RBC AI job refers to a position at the Royal Bank of Canada (RBC) that focuses on artificial intelligence (AI) and machine learning technologies. Employees in these roles work on developing, implementing, and maintaining AI-powered solutions to improve banking services, automate processes, and enhance customer experiences. Common roles include data scientist, machine learning engineer, AI researcher, and AI product manager. These positions often require strong backgrounds in computer science, statistics, and programming. Working in RBC AI offers opportunities to work on cutting-edge projects in the financial industry.

What is the difference between Rbc Ai vs Rbc Data Analyst?

AspectRbc AiRbc Data Analyst
Required CredentialsTypically requires a background in computer science, data science, or AI-specific certificationsRequires a degree in data analysis, statistics, or related fields; often includes certifications in data tools
Work EnvironmentFocuses on developing and implementing AI models within financial servicesAnalyzes data to support business decisions in banking and finance
Employer & Industry UsageUsed mainly in AI development teams at RBCUsed across various departments for data-driven decision making at RBC

Rbc Ai primarily involves developing AI models and algorithms, requiring technical expertise in AI and machine learning. Rbc Data Analysts focus on interpreting data to inform business strategies, often using statistical tools. While both roles work within RBC and the financial industry, Rbc Ai is more technical and development-oriented, whereas Rbc Data Analysts concentrate on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an AI Specialist at RBC, and why are they important?

To thrive as an AI Specialist at RBC, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, data analysis tools, and AI frameworks such as TensorFlow or PyTorch, along with certifications in AI or data science, is typically expected. Strong problem-solving abilities, effective communication, and teamwork skills help drive innovation and collaboration across business and technical teams. These skills ensure the successful development, deployment, and integration of AI solutions that support RBC’s strategic goals and enhance customer experiences.

What is RBC AI?

RBC AI refers to the artificial intelligence initiatives and roles within RBC, a financial services company. Jobs in RBC AI typically involve developing machine learning models, data analysis, and leveraging AI tools to improve banking and financial services. Candidates often need skills in data science, programming, and understanding of financial industry applications.
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Rbc Ai jobs near you
Infographic showing various Rbc Ai job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $91,315 per year, or $43.9 per hour.
Lead Agentic AI Engineer

Lead Agentic AI Engineer

Royal Bank of Canada

Minneapolis, MN • On-site

$100K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

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

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:
2026-07-17
Application Deadline:
2026-08-21
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.
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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.

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