Context Engineer

Overview

What is the opportunity? We are embedding GenAI into everyday workflows for Financial Advisors and operational teams—starting with simple, high-value prompt use cases and expanding into agent-enabled experiences.

This role is a frontline builder. As a Context Engineer (Prompt Analyst), you will focus on creating high-quality saved prompts that advisors and teams use daily and supporting agent workflows by designing and refining the prompts and context that drive them. This is a new capability for the organization and you will play a critical role in proving how GenAI can deliver real, measurable productivity gains—quickly and safely.

• Build and Maintain Saved Prompts (Primary Focus)
• Design simple, reusable prompts for internal AI tools (e.g., copilot-style usage)
• Support high-frequency workflows such as:
  • Client summaries and insights
  • Meeting preparation and follow-ups
  • Book of business reviews
  • Operational and service tasks
• Ensure prompts are:
  • Easy to use
  • Consistent in output
  • Grounded in the right business context
• Continuously refine prompts based on user feedback and observed performance
• Support Agent Prompt Development
• Work with the Agent Lead and AI Engineering to:
  • Build and test prompts used inside agent workflows
  • Structure inputs and outputs for multi-step processes
• Help improve how agents interpret instructions, use data and tools, and generate reliable responses
• Translate Business Needs into Effective Prompts
• Partner closely with advisors and business teams to understand what they are trying to accomplish and where GenAI can help (and where it should not be used)
• Convert real-world workflows into clear prompt instructions, structured inputs and expected outputs
• Apply wealth management context (clients, accounts, portfolios, compliance considerations)
• Test, evaluate, and improve output quality with structured testing on prompts to evaluate accuracy, completeness, consistency, and risk of hallucination or misinterpretation
• Identify failure patterns and refine prompts accordingly
• Support lightweight evaluation approaches (prompt comparisons, A/B testing)
• Contribute to Prompt Standards and Best Practices
• Document and maintain prompt templates and reusable patterns, and guidance on when to use simple prompts vs. more complex solutions
• Ensure prompts align with data privacy expectations and governance and risk standards

Must-have

• Experience working with GenAI tools (e.g., ChatGPT, Claude, or similar) in a hands-on, applied way
• Demonstrated ability to write clear, structured prompts and iterate based on output quality
• Strong problem-solving skills with ability to break down business tasks into steps
• Comfort working with both business stakeholders (advisors, operations) and technical teams (AI engineering, data)
• Basic technical fluency: understanding of APIs, structured data (JSON), or similar concepts
• Ability to work in a fast-paced, test-and-learn environment

Nice to have

• Exposure to prompt engineering techniques (few-shot, role prompting, structured outputs)
• Experience with agent frameworks or workflow automation tools
• Background in financial services or wealth management
• Experience with data analysis or business analysis, or user experience/workflow design

• Be part of building a new GenAI capability from the ground up
• Work on solutions that are used daily by Financial Advisors
• Gain hands-on experience with prompt engineering, agent workflows, and real-world AI applications in a regulated industry
• Operate in a high-visibility, fast-learning environment with direct business impact

Compensation and company information
The good-faith expected salary range for the above position is $80,000 - $140,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance;

and paid time-off plan.

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

• Address: 250 NICOLLET MALL, MINNEAPOLIS
• City:
  Minneapolis
• Country:
  United States of America
• Work hours/week: 40
• Employment Type:
  
  Full time
• Platform: TECHNOLOGY AND OPERATIONS
• Job Type: Regular
• Pay Type:
  
  Salaried
• Posted Date:
• Final date to receive applications:
• Note:
  
  Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date above