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Ai Rmf Jobs in Gilbert, AZ (NOW HIRING)

LLM and Copilot usage policy and data-leakage and shadow-AI controls under NIST AI RMF and ISO/IEC 42001. * Run prompt-injection and jailbreak testing and LLM red-teaming, and secure MCP and AI-agent ...

Manager of Application & AI Security

Scottsdale, AZ · On-site

$59.25 - $79/hr

Implement technical controls aligned with the NIST AI RMF and ISO/IEC 42001 alongside our GRC team. * Lead AI Red-Teaming: Conduct proactive prompt-injection, jailbreak testing, and LLM red-teaming ...

Manager of Application & AI Security

Scottsdale, AZ · On-site

$59.25 - $79/hr

Implement technical controls aligned with the NIST AI RMF and ISO/IEC 42001 alongside our GRC team. * Lead AI Red-Teaming: Conduct proactive prompt-injection, jailbreak testing, and LLM red-teaming ...

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 ...

New

Hands-on experience with security frameworks and standards such as NIST ISO 27001/ISO 62443/AI RMF, CIS Controls, and MITRE ATT&CK. * Knowledge of data protection techniques including encryption ...

Hands-on experience with security frameworks and standards such as NIST ISO 27001/ISO 62443/AI RMF, CIS Controls, and MITRE ATT&CK. * Knowledge of data protection techniques including encryption ...

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Ai Rmf information

See Gilbert, AZ salary details

$34.4K

$95.7K

$163.5K

How much do ai rmf jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai rmf in Gilbert, AZ is $95,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $115,100.00 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 Gilbert, AZ?

For Ai Rmf jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in Gilbert, AZ look for?

The top searched job categories for Ai Rmf jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Ai Rmf jobs?

Cities near Gilbert, AZ with the most Ai Rmf job openings:

Manager, Application & AI Security

Provn

Scottsdale, AZ • Remote

$137K - $206K/yr

Full-time

Re-posted 3 days ago


Job description

Manager, Application & AI Security

arrivia Remote (US) Full-time

https://provn.co/org/arrivia/jobs/a9c66316-d11f-4733-b11f-914dddd28c06/manager-application-ai-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-mgr-ai-security

About arrivia

arrivia specializes in making brands better through the power of travel, powering loyalty and membership travel programs. Formed from the merger of ICE, SOR Technology, and WMPH Vacations, the company brings more than 55 years of combined experience and operates on both US coasts and around the world.

About the Role

This role keeps arrivia's applications, cloud, and AI usage governed and secure-by-default, so delivery speed never outruns risk review. You will own the secure software development lifecycle per NIST SSDF and ISO/IEC 27001, CI/CD golden-pipeline guardrails and artifact integrity, application security testing across API and the OWASP Top 10, container and Kubernetes and IaC scanning, threat modeling, SBOM generation, and cloud tenant guardrails at the application layer. You will also hold the central AI-governance mandate: LLM and Copilot usage policy, the AI and model inventory and AI-BOM, the model registry and approval workflow, prompt-injection and jailbreak testing, LLM red-teaming, and MCP and AI-agent runtime security. You will report to the EVP of IT and Security and CIO and lead the App and AI Security team of roughly four to five.

What You'll Do
  • Own the secure SDLC per NIST SSDF and ISO/IEC 27001, including application security reviews for major releases.
  • Own CI/CD golden-pipeline guardrails, pipeline and artifact integrity, and pipeline monitoring.
  • Run application security testing across API security, OWASP ASVS, and the OWASP Top 10 and API Security Top 10.
  • Own container, Kubernetes, and IaC scanning, threat modeling, secure-code training, and SBOM generation.
  • Hold the central AI-governance mandate: LLM and Copilot usage policy and data-leakage and shadow-AI controls under NIST AI RMF and ISO/IEC 42001.
  • Run prompt-injection and jailbreak testing and LLM red-teaming, and secure MCP and AI-agent runtimes with per-tool-call authorization and containment.
What We're Looking For
  • A degree in computer science, cybersecurity, or a related field, or a minimum of 7 years in security; 5+ years in application security and/or DevSecOps, including team leadership.
  • Hands-on experience building security into CI/CD as guardrails-as-code (Azure DevOps, GitHub Actions, GitLab, Jenkins).
  • Strong application security testing across SAST, DAST, SCA, secrets scanning, and API security (Checkmarx, Veracode, Snyk).
  • Knowledge of API security architecture and standards such as OAuth2, OWASP, and CIS; experience with containers, Kubernetes, IaC, threat modeling, and SBOMs.
  • Working knowledge of AI/LLM security: usage governance, prompt-injection and jailbreak testing, LLM red-teaming, and MCP/AI-agent runtime controls; familiarity with NIST AI RMF and ISO 42001.
  • CISSP or CCNP-Security required; CSSLP, CCSP, or CISM preferred.
Compensation and Benefits

$137,000-$206,000. Remote within the US, leading the App and AI Security team (currently three, growing to four or five).

How to Apply

To apply for this role, you must create an account on provn.co and submit all required application artifacts. Resume only applications may be considered, but candidates who complete a full application are reviewed with priority.

How hiring works here

Referrals are king for getting an interview. But what if you don't have a referral? Applying with Provn is designed to help you get more interviews. Instead of sending a cold resume into an ATS and waiting, you will complete a challenge built by arrivia and submit a short video walking through your approach. No time limit. No timers. No restrictions on AI usage. Show how you build with AI.

Why that works in your favor:

  • You show how you actually build and ship with coding agents, instead of hoping a resume communicates your skill clearly.
  • Your judgment with AI becomes visible, which no "proficient with AI coding agents" resume bullet can prove.
  • One challenge puts you in front of the security team, scored on the work. Priority without a referral!

The hiring manager reviews every completed submission, and strongest candidates go straight to an interview round. No referral needed. Performance over pedigree. Proof over polish.

For this role, the challenge is a significant part of your candidacy. If you have been looking for a foot in the door, a chance to show what you can do, if you have ever felt like all you needed was ten minutes with the hiring manager to prove yourself, this is that opportunity.

https://provn.co/org/arrivia/jobs/a9c66316-d11f-4733-b11f-914dddd28c06/manager-application-ai-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-mgr-ai-security