ZipRecruiter

Log In

1

Director Prompt Engineer Jobs in Minnesota (NOW HIRING)

Harris

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

Thomson Reuters

Lead Software Engineer I

Eagan, MN · On-site

... stacks - and direct contribution to AI-powered capabilities such as agentic workflows, LLM ... including prompt engineering, agentic system design, LLM orchestration frameworks, and some ...

New

THOMSON REUTERS

Lead Software Engineer I

Eagan, MN · Hybrid

... stacks - and direct contribution to AI-powered capabilities such as agentic workflows, LLM ... including prompt engineering, agentic system design, LLM orchestration frameworks, andsome ...

New

Pwc

AI Solutions Engineering Delivery Lead

Minneapolis, MN · On-site

$107K - $140K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or ...

next page

Showing results 1-20

All JobsPrompt Engineer JobsDirector Prompt Engineer JobsDirector Prompt Engineer Jobs in Minnesota

Director Prompt Engineer information

What is a director prompt engineer?

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.

Are director prompt engineers still in demand?

Director prompt engineers are increasingly in demand as organizations seek expertise in designing and optimizing AI prompts for large language models. The role requires strong skills in AI, natural language processing, and strategic thinking, with demand driven by the growth of AI applications across industries.

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 skills and qualifications are needed to thrive as a director prompt engineer?

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.

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.
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 82% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

AI Prompt Engineer - Minneapolis, Mn

Motion Recruitment

Minneapolis, MN • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

Job Description

A major enterprise security organization is growing its generative AI research efforts and is looking for an AI Prompt Engineer in Minneapolis. The group is exploring how frontier language models can be incorporated into cybersecurity testing and is building technology that uses AI to uncover weaknesses across software, infrastructure, and network environments.

The position sits at the intersection of AI engineering, cybersecurity, and software development. You will be responsible for designing the instructions and supporting logic that allow large language models to conduct meaningful security analysis. Success in this role requires more than prompt-writing ability; you must understand the security problems being investigated well enough to direct an AI model toward useful findings and distinguish meaningful vulnerabilities from noise.

Required Skills & Experience

  • Proven hands-on work with advanced LLM prompting, prompt engineering, or AI workflow development

  • Strong understanding of cybersecurity fundamentals and how vulnerabilities are identified and exploited

  • Knowledge of malware, network ingress/egress, attack vectors, and common infrastructure weaknesses

  • Programming experience with at least one general-purpose development language

  • Ability to develop structured AI workflows that combine prompts, context, logic, and model responses

  • Experience working with relational, search, or cloud-hosted database technologies

  • Familiarity with PostgreSQL, Elastic/Elasticsearch, Cloud SQL, or equivalent platforms

Desired Skills & Experience

  • Familiarity with automated security testing techniques such as SAST and DAST

  • Security assessment or penetration-testing experience

  • Knowledge of cloud infrastructure and cloud security concepts

  • Exposure to Kubernetes-based environments

  • Experience with Google Kubernetes Engine

  • Previous work involving AI red teaming, model testing, or adversarial AI research

What You Will Be Doing

Daily Responsibilities

  • Design prompt architectures that direct AI models through cybersecurity research and testing tasks

  • Build AI harnesses capable of maintaining relevant context throughout complex security investigations

  • Develop test cases that identify software vulnerabilities and infrastructure exposures

  • Use generative AI to support network-perimeter analysis and discovery of open or risky services

  • Create workflows for identifying suspicious certificate usage and other security-control weaknesses

  • Experiment with different frontier models without being tied to a single provider

  • Assess the usefulness and accuracy of model-generated security findings

  • Partner with engineers responsible for capturing and processing the resulting security data

  • Coordinate with cyber threat hunters who investigate and remediate validated findings

The Offer

  • Contract opportunity

  • Competitive hourly compensation

You will receive the following benefits:

  • Medical Insurance

  • Dental Benefits

  • Vision Benefits

  • Paid Time Off (PTO)

  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply