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Ai Rmf Jobs in Baltimore, MD (NOW HIRING)

AMA CONSULTING LLC.

Chief AI Architect

Lanham, MD · On-site

Familiarity with federal AI governance frameworks (NIST AI RMF, DoD AI policies). * Experience with Kubernetes, Docker, and distributed AI systems. Preferred skills include: * Experience supporting ...

Booz Allen Hamilton

AI Model SME

Fort George G Meade, MD · Hybrid

$99K - $225K/yr

Knowledge of secure AI engineering best practices such as adversarial robustness, model governance, or NIST AI RMF * Possession of strong programming skills in languages such as Python * Bachelor ...

Cloudera

AI Solutions Architect

Baltimore, MD · Remote

Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of ...

Booz Allen Hamilton

AI Model SME

Fort George G Meade, MD · Hybrid

$99K - $225K/yr

Knowledge of secure AI engineering best practices such as adversarial robustness, model governance, or NIST AI RMF * Possession of strong programming skills in languages such as Python * Bachelor ...

ResolveSoft Inc

Be Seen First

Solutions Architect (Technical Lead)

Elkridge, MD · Remote

$120K - $140K/yr

Responsible AI & Compliance: Proven understanding of federal AI guidelines, including the NIST AI Risk Management Framework (AI RMF), data privacy, and deploying AI models within FedRAMP-authorized ...

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All JobsAi Rmf JobsAi Rmf Jobs in Baltimore, MD

Ai Rmf information

See Baltimore, MD salary details

$34.3K

$95.4K

$163K

How much do ai rmf jobs pay per year?

As of Jun 14, 2026, the average yearly pay for ai rmf in Baltimore, MD is $95,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $114,800.00 per year, depending on experience, location, and employer.

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 Baltimore, MD? For Ai Rmf jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Ai Rmf jobs in Baltimore, MD look for? The top searched job categories for Ai Rmf jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Ai Rmf jobs? Cities near Baltimore, MD with the most Ai Rmf job openings:
Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in Baltimore, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $95,436 per year, or $45.9 per hour.
SME AI Management Analyst

SME AI Management Analyst

AMA CONSULTING LLC.

Laurel, MD • On-site

Full-time

Posted 11 days ago

Job description

AMA Consulting, LLC, a Maryland-based Limited Liability Company, provides a range of analytical, acquisition, and business management support services to federal agencies. AMA Consulting is an Equal Opportunity/Affirmative Action Employer. Join a dynamic team of forward-thinking professionals in our growing company.
SME AI Management Analyst
The SME Management Analyst serves as a senior advisor responsible for leading governance, risk integration, and cross-functional coordination efforts supporting the implementation of the NIST Artificial Intelligence Risk Management Framework (AI RMF). This role drives development of governance artifacts, risk mapping frameworks, and operational integration strategies to enable consistent, transparent, and scalable AI risk management practices.
This position directly supports AI RMF lifecycle implementation, including governance (Govern), contextual risk mapping (Map), and operational risk integration (Manage), ensuring traceability across evaluation planning and decision-making processes
Key responsibilities include:
  1. AI Governance & Program Integration
  • Lead development of AI RMF governance frameworks, including roles, decision pathways, and oversight mechanisms
  • Develop governance integration briefs addressing evaluation readiness and escalation pathways
  • Ensure alignment between governance structures and TEVV planning activities
  1. Risk Mapping & Evaluation Readiness
  • Develop contextual risk mapping frameworks aligned with AI RMF "Map" function
  • Identify and document AI system context, risk factors, and assumptions supporting evaluation planning
  • Ensure traceability between risk identification and downstream evaluation priorities
  1. Operational Risk Integration
  • Design evaluation-to-risk integration frameworks connecting TEVV insights to operational risk management
  • Develop feedback loop documentation and continuous improvement mechanisms
  • Support translation of evaluation insights into actionable risk considerations
  1. Standards & Analytical Support
  • Support AI standards landscape analysis and alignment with AI RMF
  • Identify gaps, overlaps, and impacts across domestic and international standards efforts
  • Contribute to development of analytical briefs and technical documentation
  1. Program Coordination & Reporting
  • Support development of Work Plans, Monthly Status Reports, and Final Reports
  • Coordinate cross-task activities and ensure deliverable alignment
  • Facilitate stakeholder engagement and communication with Government leads

Required qualifications to be successful in this role:
  • Bachelor's degree in Public Policy, Business, Data Science, AI, or related field (Master's preferred)
  • 10+ years of experience in federal consulting, program analysis, or AI governance
  • Demonstrated experience with AI risk management frameworks (e.g., NIST AI RMF)
  • Experience developing governance artifacts, frameworks, and analytical reports
  • Strong understanding of TEVV concepts and evaluation planning
  • Experience supporting NIST, DoC, or federal AI initiatives
  • Familiarity with OMB AI guidance and federal AI policy landscape
  • Experience supporting standards organizations or regulatory environments

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