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Ai Model Jobs in Minnesota (NOW HIRING)

HP

Director of AI (Virginia)

Virginia, MN · On-site

$174K - $305K/yr

The new Director of AI will be responsible for all aspects of AI model development from scoping through deployment, and will work closely with product, data, and business partners to identify ...

UnitedHealth Group

Senior AI/ML Engineer

Minnetonka, MN · Remote

$120K - $214K/yr

In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source ... Ensure Model Quality, Evaluation, Security & Safety * Implement Observability, Operations ...

UnitedHealth Group

Senior AI/ML Engineer

Minnetonka, MN · On-site

$120K - $214K/yr

In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source ... Ensure Model Quality, Evaluation, Security & Safety * Implement Observability, Operations ...

Programmers.io

AI Lead

Minneapolis, MN · On-site

Design robust AI solution architectures including expertise in designing robust Agentic GenAI systems, robust ML & RAG pipelines, Context Engineering pipelines, agentic orchestration, model context ...

Mayo Clinic

Senior AI/ML Engineer

Rochester, MN · On-site

$95K - $131K/yr

Develop cloud-native services and APIs for AI model inference and integration with clinical applications. * Optimize cloud computing resources, storage, networking, and GPU infrastructure for ...

Mayo Clinic

Senior AI/ML Engineer

Rochester, MN · On-site

$95K - $131K/yr

Develop cloud-native services and APIs for AI model inference and integration with clinical applications. * Optimize cloud computing resources, storage, networking, and GPU infrastructure for ...

Mayo Clinic

Senior AI/ML Engineer

Rochester, MN · On-site

$106K - $145K/yr

Develop cloud-native services and APIs for AI model inference and integration with clinical applications. * Optimize cloud computing resources, storage, networking, and GPU infrastructure for ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

This role emphasizes Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows. You will design and deploy secure, scalable, and responsible AI systems ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

This role emphasizes Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows. You will design and deploy secure, scalable, and responsible AI systems ...

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All JobsAi Model JobsAi Model Jobs in Minnesota

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Minnesota?

For Ai Model jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Ai Model jobs in Minnesota look for?

The top searched job categories for Ai Model jobs in Minnesota are:

What cities in Minnesota are hiring for Ai Model jobs?

Cities in Minnesota with the most Ai Model job openings:

Ai Model jobs near you
Infographic showing various Ai Model job openings in Minnesota as of August 2026, with employment types broken down into 67% Full Time, 18% Part Time, and 15% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

AI Prompt Engineers

Motion Recruitment Partners, LLC

Minneapolis, MN • On-site

Other

Posted 19 days ago

Job description

Outstanding contract opportunity! A well-known Financial Services Company is looking for a Prompt Engineer in Charlotte, NC (hybrid 3 days on-site).
As a Prompt Engineer, you will play a crucial role in our AI development team by designing and developing prompts that enable optimal performance from our AI models and algorithms. Your skills in crafting clear, effective, and engaging prompts will be vital to advancing the capabilities and accuracy of our AI systems.
Contract Duration: 12+ Months
Required Skills & Experience
  • AI harness development" - writing complex, context-aware prompts
  • Dev background flexible (Python, Go, .NET, etc.) - general coding ability valued over specific language
  • DB experience: Postgres, Elastic, Cloud SQL
  • Nice-to-have (lower priority): cloud computing, GKE, Kubernetes
  • Cyber background is essential
  • Model-agnostic (OpenAI, Anthropic, even non-US frontier models) - prioritizes demonstrated prompting ability + cyber context over which tool they've used
  • Years of experience less important than raw aptitude/drive, since this is a new field

What You Will Be Doing
  • Work closely with AI researchers and developers to gather project requirements and align on objectives.
  • Create a wide variety of prompts tailored to different AI tasks and applications.
  • Innovate and experiment with new techniques for generating prompts that drive better model performance.
  • Conduct in-depth research to find and curate relevant data sources to support prompt development.
  • Develop prompts engineered to elicit precise and meaningful responses, ensuring alignment with desired outcomes.
  • Continuously test, refine, and optimize prompts based on feedback and performance metrics from AI models.
  • Analyze model outputs to make data-driven enhancements to prompt effectiveness.
  • Keep abreast of the latest trends and developments in NLP and AI technologies.
  • Collaborate with multiple teams to ensure the smooth integration of prompts within AI-driven applications.

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