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Ai Risk Management Framework Jobs (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 ...

Leidos

Risk Management Framework Engineer

Alexandria, VA · On-site

$87K - $157K/yr

Description Leidos is seeking an experienced Risk Management Framework (RMF) Engineer to support the Defense Manpower Data Center (DMDC) CyberPRIMES program. Leidos is a major partner on the contract ...

Leidos

Risk Management Framework Engineer

Seaside, CA · On-site

$87K - $157K/yr

Description Leidos is seeking an experienced Risk Management Framework (RMF) Engineer to support the Defense Manpower Data Center (DMDC) CyberPRIMES program. Leidos is a major partner on the contract ...

Leidos

Risk Management Framework Engineer

Seaside, CA · Hybrid

Leidos is seeking an experienced Risk Management Framework (RMF) Engineer to support the Defense Manpower Data Center (DMDC)CyberPRIMES program. Leidos is a major partner on the contract and will ...

Cetera

Senior Security Engineer

Dallas, TX · On-site

$113K - $155K/yr

Implement and maintain controls aligned to recognized AI risk management frameworks (spanning governance, mapping, measurement, and management of AI risk), including control documentation, risk ...

Cetera

Senior Security Engineer

Dallas, TX · On-site

$113K - $155K/yr

Implement and maintain controls aligned to recognized AI risk management frameworks (spanning governance, mapping, measurement, and management of AI risk), including control documentation, risk ...

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How much do ai risk management framework jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai risk management framework in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What is an AI Risk Management Framework?

An AI Risk Management Framework is a structured approach for identifying, assessing, and mitigating risks associated with the design, development, deployment, and use of artificial intelligence systems. It provides guidelines and best practices to ensure AI systems are trustworthy, ethical, and aligned with legal and societal expectations. Organizations use these frameworks to address potential challenges such as bias, security vulnerabilities, privacy concerns, and unintended consequences. By implementing an AI risk management framework, companies can better manage risks and improve transparency and accountability in their AI initiatives.

What are some common challenges encountered when implementing an AI Risk Management Framework in an organization?

Implementing an AI Risk Management Framework often involves navigating challenges such as aligning diverse stakeholder expectations, integrating risk assessments into existing workflows, and ensuring compliance with rapidly evolving regulations. Team members may need to bridge knowledge gaps between technical AI development and risk management practices, which requires effective communication and training. Additionally, organizations must continuously update their frameworks to address new AI risks, making adaptability and ongoing learning essential for success in this role.

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

To thrive as an AI Risk Management Framework Specialist, you need expertise in risk assessment, AI/ML systems, and regulatory compliance, typically supported by a degree in computer science, data science, or a related field. Familiarity with frameworks like NIST AI RMF, risk management tools, and governance platforms is often required, as well as relevant certifications such as CRISC or CISSP. Strong analytical thinking, attention to detail, and clear communication skills help professionals navigate complex technical and ethical challenges. These skills ensure the safe, ethical, and compliant deployment of AI systems within organizations.

What is the difference between Ai Risk Management Framework vs Data Scientist?

AspectAi Risk Management FrameworkData Scientist
Primary FocusIdentifying and mitigating AI-related risks, ensuring ethical and safe AI deploymentAnalyzing data to extract insights, build models, and support decision-making
Required CredentialsKnowledge of AI ethics, risk assessment, and relevant certificationsDegree in data science, statistics, or related fields; programming skills
Work EnvironmentCorporate, tech companies, industries deploying AI systemsResearch labs, tech firms, finance, healthcare

The Ai Risk Management Framework focuses on managing risks associated with AI systems, ensuring safety and compliance. In contrast, Data Scientists primarily analyze data to develop models and generate insights. While both roles require technical skills, their core objectives differ: risk mitigation versus data analysis.

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Ai Risk Management Framework jobs near you
Infographic showing various Ai Risk Management Framework job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $63,100 per year, or $30.3 per hour.

Enterprise Risk Manager

Lehi, UT • On-site

MX Technologies, Inc.
501 - 1,000 employees
Learn more about MX Technologies, Inc.external

Full-time

Re-posted 11 days ago

Job description

MX is a fintech company on a mission to empower the world to be financially strong. We build technology that helps banks, credit unions, and fintechs deliver smarter, more intuitive financial experiences to millions of people.
Like many startups, we've navigated real growth challenges - and we've come out stronger on the other side. Today, MX is in a phase ofrenewed momentum and scale, with a solid foundation and a clear vision for what's next. This is a place where thoughtful execution matters, innovation is encouraged, and individuals have real ownership over their work.
Our culture values curiosity, accountability, and impact. We give people the space to question assumptions, design better solutions, and help shape how the company grows. If you're looking to do meaningful work, influence outcomes, and grow alongside a company that's ready to move fast, you'll feel at home at MX.
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

MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.

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