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Ai Rmf Jobs (NOW HIRING)

Koniag, Inc.

AI Governance Analyst

Washington, DC · On-site

$110K - $134K/yr

Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and ...

Mylitm

Ethics Director

California, MO · On-site

$150 - $230/hr

Lead the AI risk review process for new products, customers, and use cases. * Track regulatory developments (EU AI Act, NIST AI RMF, sector-specific rules) and translate them into engineering ...

kgs

AI Governance Analyst

Washington, DC

Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and ...

kgs

AI Governance Analyst

Washington, DC

Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and ...

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 ...

HTX Labs

Skillbridge Intern - ISSE

Approximately 15% of this role focuses on AI Security Engineering, ensuring AI-enabled capabilities are deployed securely and governed in accordance with NIST AI RMF, DoW guidance, and industry best ...

AT&T

AI Cybersecurity Engineer

Middletown, NJ · On-site

$155K - $261K/yr

Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP). * Stay abreast of emerging trends and ...

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How much do ai rmf jobs pay per year?

As of Aug 15, 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 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 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 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 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.
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Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $96,047 per year, or $46.2 per hour.

AI Governance Analyst

Koniag, Inc.

Washington, DC • On-site

$110K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Koniag Data Solutions, LLC, a Koniag Government Services company, is seeking an AI Governance Analyst to support KDS and our government customer in Washington, DC. This position requires the candidate to be able to obtain a Public Trust.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Koniag Data Government, a Koniag Government Services company, is seeking an experienced AI Governance Analyst to support the U.S. Small Business Administration (SBA). The ideal candidate is a knowledgeable and forward-thinking professional with expertise in artificial intelligence governance, policy development, and risk management within federal government environments. This individual will play a critical role in supporting SBA's responsible adoption and use of artificial intelligence technologies, ensuring that AI systems and initiatives align with federal AI policies, ethical principles, and applicable laws and regulations.
The AI Governance Analyst will serve as a key contributor to SBA's AI governance program, supporting the development, implementation, and management of AI governance frameworks, policies, and processes that ensure the responsible, ethical, and compliant use of AI technologies across the agency.
Principal responsibilities will include but are not limited to:
  • Support the development, implementation, and maintenance of SBA's AI governance framework, policies, standards, and procedures, ensuring alignment with federal AI policies, executive orders, OMB guidance, and applicable laws and regulations governing the use of AI in federal agencies.
  • Conduct AI risk assessments and impact analyses for AI systems and initiatives across SBA, identifying potential risks related to bias, fairness, transparency, explainability, privacy, security, and civil liberties, and developing mitigation strategies and recommendations.
  • Support SBA's compliance with applicable federal AI requirements, including Executive Order 13960 (Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government), Executive Order 14110 (Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence), OMB Memorandum M-24-10, and other relevant federal AI directives and guidance.
  • Assist in the development and maintenance of SBA's AI inventory, ensuring all AI systems and use cases are accurately identified, documented, and reported in compliance with federal AI inventory requirements established by OMB guidance.
  • Collaborate with SBA program offices, IT teams, data scientists, legal counsel, and privacy officers to embed AI governance requirements into the design, procurement, development, and deployment of AI systems and solutions throughout the AI lifecycle.
  • Develop and maintain AI governance documentation, including AI use case assessments, AI impact assessments, AI risk registers, governance checklists, and AI system documentation aligned with NIST AI Risk Management Framework (AI RMF) requirements.
  • Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and mitigate AI-related risks across the agency.
  • Monitor and analyze developments in federal AI policy, legislation, executive orders, OMB guidance, and industry best practices, assessing their impact on SBA's AI governance program and supporting the implementation of required program updates.
  • Develop and deliver AI governance awareness and training materials for SBA personnel, contractors, and leadership, promoting a strong understanding of responsible AI principles, federal AI requirements, and SBA's AI governance policies and procedures.
  • Support the integration of AI governance and security requirements into SBA's NIST Risk Management Framework (RMF) and Authorization to Operate (ATO) processes, ensuring AI-specific risks and controls are appropriately documented and assessed.
  • Collaborate with SBA's privacy, cybersecurity, and legal teams to address the intersection of AI governance with privacy, data protection, cybersecurity, and civil rights and civil liberties considerations.
  • Conduct vendor and procurement assessments for AI tools and solutions, evaluating proposed AI systems against SBA's AI governance requirements, federal standards, and ethical AI principles.
  • Support the development and implementation of AI monitoring and auditing processes to ensure deployed AI systems continue to perform as intended, remain free from significant bias or drift, and comply with applicable governance requirements over their operational lifecycle.
  • Prepare and deliver reports, briefings, and presentations on AI governance program status, AI risk findings, and policy compliance updates to SBA leadership and stakeholders.
  • Participate in interagency AI governance working groups, communities of practice, and knowledge sharing forums, representing SBA's interests and staying current with emerging federal AI governance trends and requirements.

Education and Experience:
Required:
  • Bachelor's degree in Information Technology, Computer Science, Public Policy, Law, Data Science, Cybersecurity, or a related field from an accredited college or university.
  • 5+ years of progressive experience in AI governance, technology policy, risk management, information assurance, or a closely related field, with demonstrated experience supporting AI governance or responsible AI initiatives.
  • Demonstrated knowledge of federal AI policies, executive orders, and guidance, including OMB Memorandum M-24-10, Executive Order 14110, and NIST AI RMF 1.0.
  • Experience working within or supporting federal government agencies on technology governance, risk management, or compliance programs.
  • One or more of the following certifications or equivalent:
  • Certified Information Systems Security Professional (CISSP)
  • Certified Information Privacy Professional/Government (CIPP/G)
  • NIST AI RMF credentials or equivalent AI governance training and certification
  • Project Management Professional (PMP) or equivalent
  • Certified in Risk and Information Systems Control (CRISC)

Desired:
  • Master's degree in Artificial Intelligence, Data Science, Public Policy, Law, Cybersecurity, Information Management, or a related field.
  • 7+ years of experience in AI governance, technology policy, or risk management, with a strong background supporting federal civilian agency AI programs.
  • Experience with AI/ML model development, data science methodologies, or AI system engineering, providing technical grounding for governance and risk assessment activities.

Required Skills and Competencies:
  • Exceptional communication skills in English - both written and oral - with the ability to clearly explain complex AI governance concepts, risk findings, and policy requirements to diverse audiences, including technical staff, program managers, legal counsel, and senior agency leadership.
  • Strong knowledge of federal AI governance requirements and frameworks, including Executive Order 14110, OMB Memorandum M-24-10, the NIST AI Risk Management Framework (AI RMF 1.0), and NIST AI standards and guidelines.
  • Demonstrated understanding of AI and machine learning concepts, including supervised and unsupervised learning, natural language processing, computer vision, large language models (LLMs), and generative AI, sufficient to effectively assess AI governance and risk considerations.
  • Experience conducting AI risk assessments and impact analyses, identifying risks related to algorithmic bias, fairness, transparency, explainability, privacy, security, and civil liberties, and developing practical risk mitigation strategies
  • Knowledge of responsible AI principles, including fairness, accountability, transparency, explainability, safety, and reliability, and their application within federal agency AI governance programs.
  • Familiarity with federal privacy laws and regulations, including the Privacy Act of 1974, OMB Circular A-130, and NIST SP 800-122, and their intersection with AI data collection, processing, and use
  • Experience developing and maintaining governance documentation, including policy documents, risk registers, assessment reports, and compliance checklists.
  • Understanding of the federal procurement and acquisition process and experience evaluating AI tools and solutions against governance, security, and ethical AI requirements
  • Knowledge of cybersecurity frameworks and their relationship to AI system security, including NIST SP 800-53 controls applicable to AI systems and the integration of AI governance into the RMF and ATO processes
  • Strong analytical and critical thinking skills, with the ability to assess complex AI governance challenges, interpret evolving federal policy requirements, and develop practical, actionable recommendations.
  • Ability to collaborate effectively with cross-functional teams, including IT, data science, legal, privacy, and program office stakeholders, to integrate AI governance requirements into agency operations.
  • Strong organizational and program management skills, with the ability to manage multiple concurrent priorities and deliver high-quality work products under tight deadlines.
  • Ability to obtain and maintain a Public Trust Clearance.

Desired Skills and Competencies:
  • Prior experience supporting SBA or other federal civilian agency AI governance or responsible AI programs.
  • Hands-on experience with AI/ML model development, training, and evaluation, including familiarity with common AI/ML frameworks and platforms such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
  • Experience with AI bias detection and mitigation tools and methodologies, including fairness metrics, bias auditing frameworks, and algorithmic impact assessment techniques.
  • Familiarity with generative AI and large language model (LLM) governance considerations, including prompt engineering risks, hallucination, data poisoning, model inversion, and related security and trustworthiness challenges.
  • Knowledge of AI explainability and interpretability techniques, including SHAP, LIME, and other model explanation methodologies, and their application in federal AI governance and accountability requirements.
  • Experience with AI system monitoring and auditing tools and techniques, including model performance monitoring, drift detection, and automated compliance checking.
  • Familiarity with international AI governance frameworks and standards, including the EU AI Act, ISO/IEC 42001, and IEEE standards for AI ethics and governance, and their potential implications for federal agency AI programs.
  • Experience supporting federal agency responses to congressional inquiries, inspector general (IG) reviews, or GAO assessments related to AI or emerging technology governance.
  • Knowledge of data governance principles and their intersection with AI governance, including data quality management, data lineage, and metadata management as they relate to AI system inputs and outputs.
  • Familiarity with cloud-based AI and machine learning platforms, including AWS SageMaker, Azure Machine Learning, and Google Vertex AI, and the governance considerations associated with cloud-hosted AI solutions.
  • Experience with algorithmic auditing, third-party AI system assessments, and the development of AI procurement evaluation criteria and contractual AI governance requirements.
  • Certified Ethical Emerging Technologist (CEET) or equivalent AI ethics and governance certification.

Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants.
If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
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About Koniag

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Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

Social media

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