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Ai Rmf Jobs in Columbus, OH (NOW HIRING)

Awareness of emerging AI governance and regulation (EU AI Act, NIST AI RMF) and how it lands on delivery teams * Understanding of secure SDLC practices: SAST/DAST/SCA, dependency and supply chain ...

Senior IT Risk Project Manager

Columbus, OH · On-site

$122K - $122K/yr

Awareness of emerging AI governance and regulation (EU AI Act, NIST AI RMF) and how it lands on delivery teams * Understanding of secure SDLC practices: SAST/DAST/SCA, dependency and supply chain ...

Senior Security Engineer

Columbus, OH · On-site

$131K - $237K/yr

Familiarity with NIST AI RMF and the fact that continuous-ATO control automation now has to cover AI system controls, not just traditional ones. * Using LLMs to accelerate the compliance grind ...

Senior Security Engineer

Columbus, OH · On-site

$150 - $200/hr

Familiarity with NIST AI RMF and the fact that continuous-ATO control automation now has to cover AI system controls, not just traditional ones. * Using LLMs to accelerate the compliance grind ...

Senior Security Engineer

Columbus, OH · On-site

$131K - $237K/yr

Familiarity with NIST AI RMF and the fact that continuous-ATO control automation now has to cover AI system controls, not just traditional ones. * Using LLMs to accelerate the compliance grind ...

Cloud Engineer

Columbus, OH · On-site

$150 - $200/hr

... RMF controls.* Support container orchestration, microservices deployment, automated environment ... AI/ML experience is preferred.* Travel to on-site meetings in Columbus, OH (Onsite once per month ...

Ai Rmf information

See Columbus, OH salary details

$33.3K

$92.8K

$158.4K

How much do ai rmf jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai rmf in Columbus, OH is $92,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $111,600.00 per year, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Ai Rmf jobs in Columbus, OH?

For Ai Rmf jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in Columbus, OH look for?

The top searched job categories for Ai Rmf jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Ai Rmf jobs?

Cities near Columbus, OH with the most Ai Rmf job openings:

Infographic showing various Ai Rmf job openings in Columbus, OH as of June 2026, with employment types broken down into 1% Internship, 9% Full Time, 87% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $92,772 per year, or $44.6 per hour.

Senior IT Risk Project Manager

Columbus, OH • On-site

Luxoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

$150 - $200/hr

Other

Posted 17 days ago


Job description

Project description

Modernization as a Service (MaaS) is a cross-functional practice that supports all business verticals within the company.We are seeking a Senior IT Risk Project Manager to join our project for a leading US financial institution.

Responsibilities
  • Ensure successful delivery of projects
  • Achieve financial targets
  • Manage stakeholders' expectations
  • Drive presales & business development activities
  • People management activities
  • Project manager activities:
    1. Pre-sale
    2. Contracting
    3. Project start
    4. Project Planning and Execution
    5. Team Management
    6. Self-management
SKILLS Must have
  • Core project management:- 7+ years of professional experience in software development projects and management
  • 5+ years of experience in large scale Project/Program management
  • Proven track record in complex projects with global, distributed teams
  • People management experience for 20+ FTEs
  • Good understanding of program financials and reporting
  • Good understanding of project manager areas of responsibility:Project PlanningBacklog prioritization, detailing and decompositionUnderstanding of SDLC and ability to build/optimize project processesCommunication with the team, clientUnderstanding of motivation factorsTeam ManagementResult-orientedWorking with feedback: provide and receiveRisk management:- Demonstrable experience running IT risk, security, or compliance-driven programmes - not only feature delivery- Ability to build and maintain a risk register: identification, qualification, scoring, mitigation planning, ownership assignment, and escalation- Experience coordinating remediation programmes across multiple engineering teams (patching, vulnerability closure, control implementation) and tracking them to measurable closure- Comfortable operating with audit, InfoSec, and compliance stakeholders; experience preparing evidence and status for governance forums or steering committees- Working knowledge of at least one control or risk framework (NIST CSF/RMF, ISO 27001, CIS Controls, SOC 2, or similar)- Ability to translate technical findings into business impact and risk-based prioritization for senior stakeholdersSoft skills and education:- Verbal and written business communication skills- Presentation skills, including to executive and risk-committee audiences- Negotiation skills- Master's Degree in computer science or similar education- Certification advantage: PMP / PRINCE2 / SAFe, plus one of CISSP, CISM, CRISC, or CISA
Nice to have
  • Familiarity with security vulnerability management: CVE/CVSS, severity triage, SLA-based remediation cycles
  • Exposure to penetration testing engagements - scoping, vendor coordination, findings review, retest tracking
  • Understanding of AI/GenAI risk: model and data governance, AI risk scans and assessments, prompt injection and data leakage exposure, third-party AI tooling review
  • Awareness of emerging AI governance and regulation (EU AI Act, NIST AI RMF) and how it lands on delivery teams
  • Understanding of secure SDLC practices: SAST/DAST/SCA, dependency and supply chain risk, threat modelling
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