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Prompt Engineer Jobs in Minnesota (NOW HIRING)

Context Engineer

Minneapolis, MN · On-site

$80K - $140K/yr

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 ...

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 ...

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Leverage LLM frameworks, vector databases, and prompt engineering to solve real problems * Integrate cloud AI services and build custom AI tooling when needed * Ship production-grade code that ...

Includes engineer focused on UI/UX. Uses AI Agents effectively to accelerate delivery. * Build full ... Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool ...

RBC is embedding GenAI into everyday workflows for Financial Advisors and operational teams, and they are seeking a Context Engineer (Prompt Analyst) to play a critical role in this initiative. The ...

Includes engineer focused on UI/UX. Uses AI Agents effectively to accelerate delivery. Key ... prompt flows, and agent/tool integrations. - Leverage AI coding assistants (e.g., GitHub Copilot ...

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

Build and optimize prompt engineering strategies for LLM-based applications * Implement and integrate agentic frameworks to enable autonomous decision-making workflows * Architect and deploy scalable ...

Kofax Developer

Minneapolis, MN · On-site

$70 - $75/hr

Hands-on experience designing and building RESTful APIs * 1+ year hands-on experience with Prompt Engineering within AI models * Experience working with JIRA and Confluence * Strong understanding of ...

... Strong prompt engineering and evaluation techniques Experience building enterprise-grade GenAI applications 3. RAG (Critical Requirement) Proven experience designing and implementing RAG ...

Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph. * Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. * Apply software ...

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Prompt Engineer information

See Minnesota salary details

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How much do prompt engineer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for prompt engineer in Minnesota is $46.12, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $59.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Prompt Engineer position, and why are they important?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What are the most commonly searched types of Prompt Engineer jobs in Minnesota? The most popular types of Prompt Engineer jobs in Minnesota are:
What are popular job titles related to Prompt Engineer jobs in Minnesota? For Prompt Engineer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Prompt Engineer jobs? Cities in Minnesota with the most Prompt Engineer job openings:
Context Engineer

Context Engineer

Royal Bank of Canada

Minneapolis, MN • On-site

$80K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Job Description
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
• 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 gains-quickly 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
Additional Job Details
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:
2026-05-12
Application Deadline:
2026-07-03
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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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.