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Ai Rmf Jobs in Denver, CO (NOW HIRING)

Apex Systems

Sr Windows Admin

Littleton, CO · On-site

Experience with Risk Management Framework (RMF) Requirements and Security Technical Implementation ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

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Ai Rmf information

See Denver, CO salary details

$35.5K

$98.9K

$168.8K

How much do ai rmf jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai rmf in Denver, CO is $98,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $118,900.00 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 Denver, CO?

For Ai Rmf jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in Denver, CO look for?

The top searched job categories for Ai Rmf jobs in Denver, CO are:

Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in Denver, CO as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $98,859 per year, or $47.5 per hour.

Advanced DevOps Engineer

General Dynamics Mission Systems, Inc

Boulder, CO • Hybrid

$118K - $125K/yr

Full-time

Medical, Retirement

Re-posted 15 days ago

General Dynamics Mission Systems rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

114th of 246 rated software companies

Job description

Education Requirements:

Requires a Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience. Agile experience preferred.  

Clearance Requirements:

Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.


"Sign On Bonus Available."

GDMS OFFERS RELOCATION BENEFITS FOR THIS POSITION.

ROLE AND POSITION OBJECTIVES:

As an Advanced DevOps Engineer, you will:

  • Contribute to automation that instantiates and maintains container orchestration platforms
  • Automatically configure and deploy infrastructure services consisting of identity and access management, network architecture, application security, logging, monitoring, deployment and more
  • Work closely with our team to plan major updates and enhancements to our products

In this role, you will be working with critical internal and external platform consumers. Together with the team, you will support successful implementation of the platform in the Cloud through architecture guidance, best practices, data migration, implementation, troubleshooting, monitoring, and more.

Candidates should have demonstrated familiarity and experience in some of the following areas:

  • Experience working with or familiarity with AI/ML models is preferred.
  • Identifies opportunities to apply AI for continuous improvement and innovation.
  • Experience working with, or are familiar with the differences between, public (AWS, Azure), private (RHOSP, VIO), and mixed cloud environments
  • Container technologies such as Docker, or Kubernetes
  • Deployment or use of continuous integration and continuous deployment technologies such as GitLab, Jenkins, Puppet, or Chef
  • Experience supporting production-grade applications in virtualized environments (cloud computing platforms and services) using automation
  • Creation or use of pipelines, Ansible Playbooks, and/or Terraform configurations to automate administrative actions from resource creation to service configuration
  • Effective communication and attention to detail

Other beneficial experience:

  • IT security practices including encryption, certificates, key management, patch management, STIG, RMF, or security hardening, and auditing
  • Installation of Infrastructure as a Service (IaaS) technologies such as Amazon Web Services, OpenStack, RHOSP, or VIO
  • Management of Cloud Resources in Amazon Web Services, and/or Azure
  • Platform as a Service (PaaS) technologies such as Kubernetes, Rancher, or OpenShift
  • Cloud automation tooling such as Ansible, Terraform, Terragrunt, or Packer
  • Open source server, messaging, load balancing, and database software (such as RabbitMQ, Redis, Elasticsearch)
  • Scalable networking technologies such as Load Balancers (NGINX)/Firewalls and web standards (REST APIs, web security mechanisms)

What sets you apart:

  • Strong understanding of software development process, as well as software engineering concepts, principles, and theories
  • Creative thinker capable of applying new information quickly to solve challenging problems
  • Team player who thrives in collaborative environments and revels in team success
  • Commitment to ongoing professional development for yourself and others
  • Identifies opportunities to apply AI for continuous improvement and innovation


Our Commitment to You:

  • An exciting career path with opportunities for continuous learning and development.
  • Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:

This position is flex but requires at least 3-4 days per week of onsite support at the customer's facility in Boulder, CO

 

#LI-Hybrid

#LI-JH1

#CJ3

#SGS


This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
USD $118,570.00 - USD $125,054.00 /Yr.

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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