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Director Prompt Engineer Jobs in Minnesota (NOW HIRING)

Royal Bank of Canada

Context Engineer

Minneapolis, MN · On-site

$80K - $140K/yr

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 ...

Royal Bank of Canada

Context Engineer

Minneapolis, MN

$80K - $140K/yr

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 ...

Shipt

Staff AI Engineer

Minneapolis, MN

You will help decouple AI agents, allowing them to communicate via events rather than direct calls ... Prompt Engineering & Evals: Iteratively refine system prompts to ensure consistent, safe, and high ...

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Director Prompt Engineer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups with high growth potential.

What are Director Prompt Engineers?

Director Prompt Engineers are professionals who oversee and lead teams in designing, developing, and refining prompts for artificial intelligence (AI) models, such as large language models. They are responsible for setting prompt engineering strategies, ensuring prompt quality, and collaborating with cross-functional teams to align AI outputs with business goals. Their role often includes managing prompt engineers, establishing best practices, and driving innovation in how AI systems interpret and respond to human input. Director Prompt Engineers play a critical role in shaping the effectiveness and accuracy of AI applications across various industries.

What is the highest paid prompt engineer?

The highest paid prompt engineers typically earn salaries exceeding $150,000 annually, especially those with extensive experience, advanced skills in AI and machine learning, and proficiency with large language models. Senior roles or specialists working in top tech companies or consulting firms tend to command the highest compensation.

What is the difference between Director Prompt Engineer vs Prompt Engineer?

AspectDirector Prompt EngineerPrompt Engineer
ResponsibilitiesOversees AI prompt strategies, manages teams, and aligns AI outputs with business goalsDesigns and develops prompts to optimize AI model responses
Required SkillsAdvanced AI knowledge, leadership, project managementStrong prompt design, AI understanding, technical writing
Work EnvironmentStrategic, managerial, cross-functional teamsTechnical, focused on prompt creation and testing
Industry UsageUsed in organizations integrating AI at a strategic levelCommon in AI development, research, and product teams

The main difference is that a Director Prompt Engineer leads AI prompt initiatives and manages teams, while a Prompt Engineer focuses on designing effective prompts. The director role involves strategic oversight, whereas the prompt engineer role is more technical and hands-on.

What are the key skills and qualifications needed to thrive as a Director Prompt Engineer, and why are they important?

To thrive as a Director Prompt Engineer, you need deep expertise in natural language processing, AI model development, and prompt engineering, supported by an advanced degree in computer science or a related field. Proficiency with machine learning frameworks, prompt optimization tools, and familiarity with platforms like OpenAI API is essential, along with experience in managing technical teams. Exceptional communication, strategic thinking, and leadership skills help drive innovation and effectively guide cross-functional teams. These skills ensure the delivery of high-performing AI solutions and foster a collaborative environment for continuous improvement in prompt engineering.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI research directors that offer compensation in this range. These positions often require advanced expertise in AI, extensive experience, and may include stock options or bonuses as part of the total compensation package.

How does a Director Prompt Engineer collaborate with cross-functional teams to implement AI-driven solutions?

A Director Prompt Engineer regularly works with data scientists, product managers, software engineers, and UX designers to ensure that AI prompts align with business objectives and user needs. This collaboration often involves leading brainstorming sessions, reviewing prompt performance analytics, and iterating based on feedback from both technical and non-technical stakeholders. By maintaining clear communication and a shared vision across teams, the Director ensures that prompt engineering strategies are seamlessly integrated into product development cycles. This role also mentors team members and establishes best practices, fostering a culture of continuous learning and innovation.

Which 3 jobs will survive AI?

For a Director Prompt Engineer, roles that require complex creativity, strategic decision-making, and emotional intelligence are likely to persist despite AI advancements. These include jobs like executive leadership, specialized healthcare professionals, and roles in research and development. Skills such as critical thinking, interpersonal communication, and domain expertise will remain essential in these areas.
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 Director Prompt Engineer jobs in Minnesota? For Director Prompt Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Director Prompt Engineer jobs in Minnesota look for? The top searched job categories for Director Prompt Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Director Prompt Engineer jobs? Cities in Minnesota with the most Director Prompt Engineer job openings:
Director Prompt Engineer jobs near you
Infographic showing various Director Prompt Engineer job openings in Minnesota as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Context Engineer

Context Engineer

Royal Bank of Canada

Minneapolis, MN • On-site

$80K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Key responsibilities

  • Design, build, and maintain simple, reusable prompts for internal AI tools to support high-frequency workflows.

  • Collaborate with advisors, business teams, and AI engineering to translate business needs into effective prompts and structured inputs.

  • Test, evaluate, and refine prompt output quality based on user feedback and structured testing.

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.

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