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Ai Rmf Jobs in Columbus, OH (NOW HIRING)

AI Project Manager

Marysville, OH · On-site

$50 - $80/hr

Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance). * Ability to translate between technical teams (data science ...

... RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance). • Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). • ...

IT Project Manager

Marysville, OH · On-site

$90K - $107K/yr

Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance ). Ability to translate between technical teams (data science ...

IT Project Manager

Marysville, OH

$90K - $107K/yr

Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance ). Ability to translate between technical teams (data science ...

Project Manager IT

Marysville, OH · On-site +1

$90K - $107K/yr

Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance). Ability to translate between technical teams and control ...

Compliance Consultant

Columbus, OH · On-site

$112K - $221K/yr

NIST AI RMF, ISO 42001) Skills * Solution-Oriented * Regulatory Compliance * Researching * Decision Making * Change Management * Risk Management * Risk Assessments * Issue Identification Reports To

Compliance Consultant

Columbus, OH · Hybrid

$112K - $221K/yr

NIST AI RMF, ISO 42001) Skills * Solution-Oriented * Regulatory Compliance * Researching * Decision Making * Change Management * Risk Management * Risk Assessments * Issue Identification Reports To

Ai Rmf information

See Columbus, OH salary details

$33.3K

$92.8K

$158.4K

How much do ai rmf jobs pay per year?

As of Jun 9, 2026, the average yearly pay for ai rmf in Columbus, OH is $92,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $111,600.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Ai Rmf jobs in Columbus, OH? For Ai Rmf jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Ai Rmf jobs? Cities near Columbus, OH with the most Ai Rmf job openings:
Infographic showing various Ai Rmf job openings in Columbus, OH as of June 2026, with employment types broken down into 4% Internship, 4% As Needed, 72% Full Time, 10% Part Time, 8% Temporary, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $92,772 per year, or $44.6 per hour.
AI Risk Manager

Other

Posted 12 days ago


Job description

JOB RESPONSIBILITIES 

  • Support the design, implementation, and continuous improvement of the enterprise AI governance structure, including operating models, roles, committees, and decision-making frameworks. 
  • Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures, ensuring alignment with evolving governance needs. 
  • Bridge governance strategy and execution by supporting the operationalization of AI policies and standards across business and technical teams. 
  • Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement). 
  • Maintain AI inventories, model documentation, risk registers, and audit artifacts (e.g., model cards, data lineage, controls evidence). 
  • Monitor compliance with internal AI governance standards and external regulations (e.g., privacy, security, ethical AI requirements). 
  • Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams to address AI-related risks and ensure alignment with governance expectations. 
  • Track AI risk metrics, incidents, and remediation actions; prepare reports for leadership, risk committees, and regulators. 
  • Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring. 
  • Assist with AI policy training, awareness, and communication to drive adoption of governance practices across the organization. 
  • Contribute to the maturation of AI governance capabilities, including tooling, automation, and integration into enterprise risk and technology processes 


What Will This Person Be Working On 
The AI Risk Management Administrator is responsible for supporting both the establishment and ongoing operation of the enterprise AI governance and risk management framework. This role plays a key part in defining, implementing, and maturing AI governance structures while ensuring AI systems are developed, deployed, and operated in alignment with regulatory requirements, ethical standards, internal policies, and the organization’s risk appetite. The Administrator partners with business, IT, legal, security, and compliance teams to operationalize governance, monitor AI risks, maintain documentation, and enable responsible and scalable AI practices across the enterprise 
WANTS 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field. 
  • 5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just general IT risk). 
  • Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance). 
  • Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities. 
  • Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance). 
  • Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). 
  • Strong analytical, problem-solving, and stakeholder management skills.