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Ai Rmf Jobs in Ohio (NOW HIRING)

TechLink Systems, Inc.

AI Risk Manager

Marysville, OH · On-site

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 ...

Robert Half

AI Risk Management Administrator

Dublin, OH · On-site

$75 - $78/hr

... 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). • ...

A-TEK Inc.

Federal AI Solutions Engineer

Continental, OH · On-site

$135K - $150K/yr

NIST AI RMF , FedRAMP, Zero Trust principles. * Secure coding, privacy, ethical AI, and accessibility guidelines * Implement logging/monitoring for auditability and responsible AI operations.

US Bank

AI Risk Program Manager

Cincinnati, OH

Familiarity with AI regulatory frameworks and guidance (e.g., NIST AI RMF, SR 117, EU AI Act concepts) * Experience managing or supporting centralized registries, inventories, or governance tools (e ...

CBTS

Sr. Architect Security - AI.

Cincinnati, OH · On-site

Knowledge of AI/ML security concepts and frameworks (NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS) * Familiarity with secure SDLC frameworks (NIST SSDF) and OWASP standards * Understanding of how ...

Apex Systems

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 ...

Bread Financial

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

Bread Financial

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

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Ai Rmf information

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other incentives that contribute to the total compensation.

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.

Which 3 jobs will survive AI?

For an AI RMF (Risk Management Framework) specialist, jobs that involve complex decision-making, strategic planning, and human oversight are more likely to survive AI automation. These include roles such as cybersecurity analysts, compliance managers, and risk auditors, which require critical thinking, understanding of organizational context, and interpersonal skills that AI cannot fully replicate.

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 job makes $10,000 a month without a degree?

In the field of AI RMF (Risk Management Framework), high-paying roles such as AI project managers or senior data analysts can earn $10,000 or more monthly without a formal degree, provided they have strong technical skills, certifications, and experience. These roles often require expertise in AI tools, cybersecurity, or risk assessment, and may involve self-education or industry certifications instead of traditional degrees.

What is an AI RMF?

An AI RMF (Artificial Intelligence Risk Management Framework) is a structured approach used by AI professionals to identify, assess, and mitigate risks associated with AI systems. It involves implementing best practices, standards, and tools to ensure AI safety, reliability, and compliance throughout the development and deployment process.
What are popular job titles related to Ai Rmf jobs in Ohio? For Ai Rmf jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Ai Rmf jobs in Ohio look for? The top searched job categories for Ai Rmf jobs in Ohio are:
What cities in Ohio are hiring for Ai Rmf jobs? Cities in Ohio with the most Ai Rmf job openings:
Ai Rmf jobs near you
AI Risk Manager

AI Risk Manager

TechLink Systems, Inc.

Marysville, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

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.

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