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Ai Rmf Jobs (NOW HIRING)

NasTech Global, Inc.

Senior Cloud AI Architect

Atlanta, GA · On-site

$61 - $83.75/hr

Understanding of public sector security and compliance standards (e.g., FedRAMP, FISMA, NIST AI RMF, NIST 800-53). Experience with AI ethics, bias mitigation, and responsible AI frameworks. Prior ...

CEI

AI Governance Leader

Pittsburgh, PA

Ensure compliance with NIST AI RMF, ISO 42001, GDPR, HIPAA, SOC2, and related regulations * Support enterprise AI transformation initiatives and client advisory engagements Required Qualifications ...

Nastech Global

Senior Cloud AI Architect

Atlanta, GA · On-site

$61 - $83.75/hr

... AI RMF, NIST 800-53). ● Experience with AI ethics, bias mitigation, and responsible AI frameworks. ● Prior work with federal, state, or municipal digital transformation programs. ● ...

McKesson

Principal AI Architect

Irving, TX · On-site +1

$225K - $375K/yr

NIST AI RMF, EU AI Act, ISO 42001, SOC 2 AI considerations, and sector-specific requirements (healthcare, financial services). * Experience presenting technical governance topics to executive ...

HCLTech

AI Architect

Santa Clara, CA · On-site

Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability : Architect scalable integration patterns for agentic systems ...

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How much do ai rmf jobs pay per year?

As of Jul 3, 2026, the average yearly pay for ai rmf in the United States is $96,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $115,500.00 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.
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What cities are hiring for Ai Rmf jobs? Cities with the most Ai Rmf job openings:
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Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in the United States as of June 2026, with employment types broken down into 6% Full Time, 93% Part Time, and 1% Temporary. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $96,047 per year, or $46.2 per hour.

Adjunct Faculty - Cybersecurity (AI Governance, Risk & Auditing)

Touro University New York

Manhattan, NY • On-site

$6.5K/wk

Part-time

Posted 19 days ago

Job description

Overview
Touro University's Graduate School of Technology seeks Adjunct Faculty - Cybersecurity (AI Governance, Risk & Auditing to teach graduate-level cybersecurity courses focused on AI governance, risk management, and auditing. The ideal candidate brings expertise in cybersecurity frameworks, compliance, and emerging AI regulatory landscapes, with the ability to translate governance concepts into applied, workforce-ready skills.
Responsibilities
  • Teach assigned graduate cybersecurity courses in an asynchronous online format with required in-person engagement
  • Facilitate applied learning through case studies, audit simulations, and governance-based exercises
  • Guide students through real-world risk management, compliance, and audit workflows
  • Provide timely, actionable feedback on assignments and assessments
  • Support development of professional documentation, reporting, and governance communication skills
  • Maintain and update course materials within the learning management system (LMS)
  • Align instruction with evolving regulatory standards and industry frameworks

Instructional Scope
AI and Cyber Governance: Risk Foundations
  • Teach foundational cybersecurity frameworks including NIST Cybersecurity Framework (CSF) and NIST Risk Management Framework (RMF), and their application in enterprise environments
  • Introduce AI-specific governance models, including NIST AI Risk Management Framework (AI RMF) and global regulatory approaches such as the EU AI Act
  • Explain how frameworks are structured (functions, categories, controls) and how they integrate into enterprise risk management programs
  • Develop student ability to identify, assess, and prioritize risk across traditional IT systems and AI-enabled systems
  • Cover governance concepts including policy development, control selection, risk treatment, and stakeholder alignment
  • Use case studies to demonstrate how organizations operationalize frameworks in security, compliance, and business decision-making contexts

AI and Cyber Governance: Compliance and Auditing
  • Prepare students for auditor-level competency in information security and AI governance environments
  • Teach principles of auditing aligned to standards such as ISO 27001/27002, SOC 2, and emerging AI governance controls
  • Cover full audit lifecycle: planning, scoping, evidence collection, control testing, reporting, and follow-up
  • Emphasize risk-based auditing, including how to evaluate control effectiveness and identify gaps in both traditional and AI systems
  • Train students in governance structures, compliance requirements, and regulatory expectations across industries
  • Incorporate audit simulations and case-based exercises reflecting real organizational and regulated environments
  • Develop skills in documenting findings, managing nonconformities, and recommending corrective actions and continuous improvement

Qualifications
Education/Experience
  • Master's degree in Cybersecurity, Information Assurance, Information Systems, Computer Science, or a closely related field from an accredited institution required.
  • Doctoral degree in a related field preferred.
  • Professional certifications such as CISSP, CISM, CRISC, CISA, ISO 27001 Lead Auditor/Implementer, or similar
  • Minimum of 3-5 years of professional experience in cybersecurity governance, risk management, compliance (GRC), auditing, or related roles
  • Demonstrated experience working with cybersecurity frameworks (e.g., NIST CSF, RMF) and/or compliance standards (e.g., ISO 27001, SOC 2, NIST 800-53)

Knowledge/ Skills/ Abilities
  • Familiarity with AI governance frameworks and regulatory trends, including NIST AI RMF or equivalent
  • Experience conducting or supporting audits, risk assessments, or compliance initiatives
  • Strong understanding of enterprise risk management and governance practices
  • Excellent written and verbal communication skills, particularly in producing professional reports and documentation
  • Ability to teach in an asynchronous online environment using an LMS (e.g., Canvas, Blackboard, Moodle)
  • Commitment to student engagement, timely feedback, and academic integrity

Travel
  • Must be willing to commute to 3 Times Sq. for live synchronous classes at least 7 times a semester
  • Courses are delivered primarily in an asynchronous online format, requiring consistent online presence and facilitation

Working Conditions
  • Use of a computer
  • Need to sit or stand for 3-hour class

Maximum Salary
USD $6,500.00/Course
Minimum Salary
USD $5,200.00/Course

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