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Ai Rmf Jobs in Ohio (NOW HIRING)

kgs

Technical Director

Mark Center, OH · On-site

Risk Management Framework (RMF) * Artificial Intelligence / Machine Learning (AI/ML) * Cloud Architecture and Engineering * DevSecOps and Platform Engineering * Cybersecurity Engineering and ...

kgs

Technical Director

Mark Center, OH · On-site

Risk Management Framework (RMF) * Artificial Intelligence / Machine Learning (AI/ML) * Cloud Architecture and Engineering * DevSecOps and Platform Engineering * Cybersecurity Engineering and ...

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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.
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Ai Rmf jobs near you
Technical Director, Digital Optimization

Technical Director, Digital Optimization

VTG

Beavercreek, OH • On-site

Full-time

Posted 8 days ago

Job description

Overview
VTG is seeking an experienced Technical Director to lead and align technical execution across Department of Defense (DoD) and Intelligence Community (IC) digital optimization programs. This role serves as the senior technical authority responsible for shaping secure, scalable, and mission-aligned solutions that modernize legacy systems and accelerate operational outcomes. The ideal candidate will bring progressive experience supporting complex DoD/IC environments, combining deep technical expertise with strategic leadership, customer trust, and disciplined execution in classified and regulated settings.
What will you do?
  • Serve as the Chief Technical Authority across multiple DoD/IC programs, ensuring solutions align with mission objectives, security constraints, and operational realities
  • Define and govern technical architectures, standards, and engineering best practices for cleared environments (on-prem, hybrid, cloud)
  • Lead and mentor senior technical staff across software engineering, cloud, data, cybersecurity, and DevSecOps disciplines
  • Translate mission needs and operational requirements into secure, maintainable, and scalable technical solutions
  • Drive adoption of modern engineering practices including DevSecOps, CI/CD, infrastructure as code, and automated testing within classified constraints
  • Ensure compliance with DoD/IC policies and frameworks (e.g., RMF, Zero Trust, ICD 503, NIST)
  • Partner with Program Managers to manage technical risk, cost, schedule, and performance
  • Engage senior government stakeholders (O-6/SES/GS-15 equivalent) as a trusted technical advisor
  • Support capture and proposal efforts, including technical solutioning, staffing strategies, and risk mitigation
  • Evaluate and integrate emerging technologies to enhance mission effectiveness while maintaining security posture

Do you have what it takes?
Required Qualifications/Skills/Abilities:
  • US citizenship
  • Active Top Secret / SCI clearance or ability to obtain
  • 10-15 years of relevant technical experience, including senior leadership roles on DoD or IC programs
  • Proven experience designing and delivering solutions in classified or highly regulated environments
  • Strong background in modern software architectures, cloud computing (AWS, Azure, or hybrid), and enterprise IT modernization
  • Hands-on knowledge of DevSecOps, automation tools, CI/CD pipelines, and infrastructure as code
  • Solid foundation in cybersecurity principles, Zero Trust architecture, and secure system design
  • Experience working within RMF / ATO processes and collaborating with security stakeholders
  • DoD 8140 compliant certification required (e.g., CompTIA Security+ CE or equivalent)
  • Demonstrated ability to lead technical teams, influence across organizations, and communicate effectively with both engineers and senior leaders
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's preferred)

Preferred Qualifications/Skills/Abilities:
  • Experience supporting Air Force, Space Force, Combatant Commands, or IC agencies
  • Prior role as Chief Engineer, Principal Architect, or Technical Lead on large-scale defense programs
  • Familiarity with data platforms, analytics, AI/ML, or C5ISR-related systems
  • Experience supporting proposals, task order captures, or architecting solutions for IDIQ contracts

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