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Ai Rmf Jobs in Orem, UT (NOW HIRING)

MX Technologies, Inc.

Enterprise Risk Manager

Lehi, UT · On-site

Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework (AI RMF) or ISO/IEC 42001. * Experience assessing third-party/vendor risk, including AI vendors and cloud ...

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Ai Rmf information

See Orem, UT salary details

$30K

$83.5K

$142.6K

How much do ai rmf jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai rmf in Orem, UT is $83,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $100,400.00 per year, depending on experience, location, and employer.

What is an AI RMF professional?

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 some common challenges faced by AI RMF professionals?

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 the key skills and qualifications needed to thrive as an 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 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 Orem, UT?

For Ai Rmf jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in Orem, UT look for?

The top searched job categories for Ai Rmf jobs in Orem, UT are:

Ai Rmf jobs near you

Enterprise Risk Manager

MX Technologies, Inc.

Lehi, UT

Full-time

Posted 20 days ago

Job description

Job Summary

The Enterprise Risk Manager has an essential role in managing risks and implementing a risk management program to minimize risk to MX and its customers. . As a member of the Compliance and Privacy department, the Risk Manager will be responsible for identifying, analyzing, and mitigating risk across the enterprise by collaborating with others across MX. There is a special focus on AI risk for both platform/product use and corporate use.  To be successful in this role, the Risk Manager will need a strong understanding of risk management principles, business acumen, measurement skills, and strong collaboration.

Job Duties

  • Conduct periodic risk assessments and identify potential risks and vulnerabilities

  • Assess current controls to determine effectiveness in mitigating risks. 

  • Document and monitor risk mitigation and remediation actions to report to the Risk Committee and escalate as needed. 

  • Provide support for internal stakeholders as it relates to risk management processes and controls

  • Track risks in the risk register using a GRC tool and publish dashboards with the risk health of organizational functions 

  • Facilitate Risk Committee Meetings, establishing the agenda, and documenting minutes with follow up actions. 

  • Represent MX in various communities focusing on risk in the finance industry.

  • Be an advocate for safe AI adoption; driving risk analysis for AI use across MX platform and corporate, vendors, and data recipient customers. 

 Basic Qualifications
  • Bachelor's degree in Risk Management, Business Administration, Finance, Information Systems, Cybersecurity, or a related field, or equivalent practical experience.
  • 5+ years of experience in Enterprise Risk Management (ERM), Operational Risk, Governance, Risk & Compliance (GRC), Information Security Risk, or a related discipline.
  • Experience conducting enterprise risk assessments and developing risk mitigation plans.
  • Experience using Governance, Risk & Compliance (GRC) platforms (e.g., ServiceNow GRC, Archer, OneTrust, MetricStream, AuditBoard, or similar).
Preferred Qualifications
  • Experience in fintech, financial services, banking, payments, or another highly regulated industry.
  • Experience developing or supporting enterprise AI governance and AI risk management programs.
  • Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework (AI RMF) or ISO/IEC 42001.
  • Experience assessing third-party/vendor risk, including AI vendors and cloud service providers.
  • Knowledge of regulatory requirements related to financial institutions, privacy, and information security (e.g., FFIEC guidance, GDPR, CCPA, SOC 2, ISO 27001, PCI DSS).
  • Professional certifications such as: CRMP, CRISC, CISA, CISM

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