Context Engineer

Context Engineer (Prompt Analyst)

What is the opportunity? We are embedding GenAI into everyday workflows for Financial Advisors and operational teamsstarting 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
• Supporting agent workflows by designing and refining the prompts and context that drive them

This is a new capability for the organization. You will play a critical role in proving how GenAI can deliver real, measurable productivity gainsquickly and safely.

What will you do?

1. 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

2. 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
• Generate reliable responses

3. Translate Business Needs into Effective Prompts

• Partner closely with advisors and business teams to understand:
• What they are trying to accomplish
• 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)

4. Test, Evaluate, and Improve Output Quality

• Run structured testing on prompts to evaluate:
• Accuracy and completeness
• Consistency across runs
• Risk of hallucination or misinterpretation
• Identify failure patterns and refine prompts accordingly
• Support lightweight evaluation approaches (prompt comparisons, A/B testing)

5. Contribute to Prompt Standards and Best Practices

• Help document and maintain:
• Prompt templates and reusable patterns
• Guidance on when to use simple prompts vs. more complex solutions
• Ensure prompts align with:
• Data privacy expectations
• AI governance and risk standards

What do you need to succeed?

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
• 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)
• 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)
• Agent frameworks or workflow automation tools
• Background in financial services or wealth management
• Experience with:
• Data analysis or business analysis
• User experience or workflow design

What's in it for you?

• 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
• Real-world AI applications in a regulated industry
• Operate in a high-visibility, fast-learning environment with direct business impact

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

Job Skills

Agentic AI, Agentic Context Engineering, Agentic Design, Agentic Orchestration, AI Agent Interoperability, Cloud Computing, Context Engineering, Database Development, Data Engineering, Data Mining, Data Warehousing (DW), ETL Processing, Intelligent Agents, Prompt Engineering, Quality Management, RAG Pipeline, Requirements Analysis

Job Location

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