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Ai Rmf Jobs in Minnesota (NOW HIRING)

Maximus

AI/ML Software Developer

Saint Cloud, MN · Remote

... RMF, data protection, and Responsible AI policies - Supports system accreditation, documentation, testing, and evaluation activities - Collaborates with Government and contractor teams across ...

New

Maximus

AI/ML Software Developer

Duluth, MN · Remote

... RMF, data protection, and Responsible AI policies - Supports system accreditation, documentation, testing, and evaluation activities - Collaborates with Government and contractor teams across ...

New

Maximus

AI/ML Software Developer

Plymouth, MN · Remote

... RMF, data protection, and Responsible AI policies - Supports system accreditation, documentation, testing, and evaluation activities - Collaborates with Government and contractor teams across ...

New

Maximus

AI/ML Software Developer

Rochester, MN · Remote

... RMF, data protection, and Responsible AI policies - Supports system accreditation, documentation, testing, and evaluation activities - Collaborates with Government and contractor teams across ...

New

Maximus

AI/ML Software Developer

Minneapolis, MN · Remote

... RMF, data protection, and Responsible AI policies - Supports system accreditation, documentation, testing, and evaluation activities - Collaborates with Government and contractor teams across ...

New

Accelint

Testing and Evaluation Lead

Saint Paul, MN · On-site +1

$135.67K - $156.74K/yr

Our work includes advanced sensors, autonomous systems, mission command and control software, AI ... Understanding of RMF, ATO, and Cybersecurity Testing/Validation (e.g., STIG compliance)

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What are the key skills and qualifications needed to thrive as an AI Risk Management Framework (AI RMF) Specialist, and why are they important?

To thrive as an AI RMF Specialist, you need expertise in risk management, AI/ML systems, compliance, and typically a background in computer science, data science, or cybersecurity. Familiarity with NIST AI RMF, model governance tools, and regulatory compliance platforms is essential, and certifications like CISSP or CISM are often advantageous. Strong analytical thinking, communication, and stakeholder management skills help navigate complex technical and ethical considerations. These abilities are crucial to ensure organizations deploy AI responsibly, mitigate risks, and meet legal and ethical standards.

What are some common challenges faced by professionals working in AI Risk Management Framework (RMF) roles?

Professionals in AI RMF roles often encounter challenges such as keeping up with rapidly evolving regulatory requirements and ensuring that AI systems remain compliant throughout their lifecycle. Another common challenge is collaborating effectively with cross-functional teams—including data scientists, legal, and IT security—to identify and mitigate risks associated with AI models. Additionally, balancing the need for innovative AI solutions with responsible risk management can be complex, requiring strong communication and critical thinking skills.

What are AI RMF professionals?

AI RMF professionals are experts who specialize in implementing and managing the Artificial Intelligence Risk Management Framework (AI RMF). This framework, developed by NIST, provides structured guidance for organizations to identify, assess, and mitigate risks associated with artificial intelligence systems. AI RMF professionals help ensure that AI technologies are trustworthy, ethical, and comply with relevant standards and regulations. Their work involves risk assessment, policy development, and collaboration with technical and compliance teams to integrate responsible AI practices.

What is the difference between Ai Rmf vs Ai Rmp?

AspectAi RmfAi Rmp
CertificationsRegistered Medical Fitness (RMF) certificationRegistered Medical Practitioner (RMP) license
Work EnvironmentMedical clinics, health screening centersHospitals, clinics, private practices
Industry UsageHealth screening, medical assessmentsMedical diagnosis, treatment
Common Search IntentRoles in medical fitness assessmentsMedical diagnosis and patient care

Ai Rmf and Ai Rmp are related healthcare roles but differ mainly in certification and scope. Ai Rmf focuses on medical fitness assessments, often in health screening centers, while Ai Rmp involves broader medical diagnosis and patient treatment. Understanding these differences helps in choosing the right career path or job role in the healthcare industry.

What are popular job titles related to Ai Rmf jobs in Minnesota? For Ai Rmf jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Rmf jobs in Minnesota look for? The top searched job categories for Ai Rmf jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Rmf jobs? Cities in Minnesota with the most Ai Rmf job openings:
Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in Minnesota as of May 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Temporary. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
AI Solution Analyst/Developer

AI Solution Analyst/Developer

Hearth & Home Technologies, LLC

Lakeville, MN

$65K - $82.50K/yr

Full-time

Posted 22 days ago

Hearth & Home Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Hearth & Home Technologies is looking for an AI Solutions Analyst/Developer to join our team in Lakeville, MN. This is an on-site role in Lakeville, MN. We are the nation’s leading manufacturer and supplier of hearth products, including a wide variety of gas, electric, wood and pellet burning fireplaces, inserts, stoves, and accessories. Headquartered in Lakeville, Minnesota, with distribution around the world, our innovative culture is supported by a business unit structure that allows us to develop and market products with a strong focus on customers’ needs.  Since 1996, we’ve been dedicated to connecting people through the warmth and comfort of our hearth products.    
We are not accepting any candidates that require company sponsorship to legally work in the United States. No agency candidates.  
 
This role is ideal for someone with an interest in machine learning, generative AI, and applied large language model (LLM) engineering—using today's leading platforms such as Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama, Mistral, and open-source ecosystems like Hugging Face—to build agentic, multimodal, and retrieval-augmented solutions that deliver measurable value to the business. 
 
Responsibilities
  • Develop, test, and deploy generative AI solutions across text, image, audio, and video modalities, including agentic workflows that plan and execute multi-step tasks.
  • Build and integrate retrieval-augmented generation (RAG) pipelines using modern vector databases, knowledge graphs, and orchestration frameworks such as LangChain / LangGraph, Neo4J, MongoDB.
  • Experiment with and evaluate frontier LLMs—including Anthropic Claude, OpenAI GPT, Google Gemini, and Mistral—through enterprise platforms like Azure AI Foundry.
  • Collaborate with AI developers, data engineers, and business stakeholders to translate requirements into production-ready solutions integrated with HNI systems.
  • Contribute to responsible AI practices aligned with the NIST AI Risk Management Framework, including prompt safety, PII handling, bias testing, and human-in-the-loop review.
  • Use AI-assisted developer tooling (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate delivery, and the Model Context Protocol (MCP) to connect agents to enterprise data and tools.
  • Document and present results, trade-offs, and business insights from generative AI projects to technical and executive audiences.
  • Manage your own project workload, including sequencing, progress tracking, and clear status communication to non‑technical stakeholders.
  • Communicate tradeoffs, limitations, and solution options in plain language to help the business make informed decisions.
  • Develop working knowledge of the hearth industry and HHT’s business so technical decisions reflect real‑world constraints and opportunities.
  • Stay current on applied AI development approaches and bring relevant ideas to the Innovation team  
Qualifications
  • Bachelor's degree (or equivalent) in computer science, software engineering, data science, mathematics, or a related field.
  • Experience, coursework, or demonstrated interest in generative AI models and platforms such as Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama, Mistral, Hugging Face, and image/video/audio models (DALL·E, Stable Diffusion, Imagen, Veo, ElevenLabs). 
  • Proficiency in Python, with familiarity in at least one additional language (e.g., TypeScript/JavaScript, Java, C#, SQL).
  • Working understanding of machine learning, deep learning, and generative AI concepts—especially LLMs, embeddings, RAG, tool-use / agents, fine-tuning vs. prompting, and evaluation methods for non-deterministic systems.
  • Exposure to cloud AI services on Azure, AWS, or Google Cloud, and interest in enterprise platforms such as Azure AI Foundry, AWS Bedrock, Vertex AI, Databricks, or NVIDIA NIM.
  • Familiarity with version control (Git), APIs, and modern software engineering practices; exposure to containers (Docker), CI/CD, or MLOps tooling is a plus.
  • Awareness of responsible AI topics—data privacy, security, bias, hallucination mitigation, and governance frameworks such as the NIST AI RMF.
  • Ability to work both independently and collaboratively in a cross-functional team environment.
  • Excellent written and verbal communication skills, with the ability to translate technical concepts for business audiences, plus strong analytical and problem-solving skills.

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