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Ai Rmf Jobs in California (NOW HIRING)

Sr. Technology Auditor

San Francisco, CA

$110K - $145K/yr

Exposure to emerging AI governance frameworks (e.g., NIST AI RMF) or experience auditing internal AI / LLM usage is a strong plus. * Technical Control Advisory: Demonstrated ability to translate ...

Apply Early

Sr. Technology Auditor

Santa Barbara, CA

$101K - $133K/yr

Exposure to emerging AI governance frameworks (e.g., NIST AI RMF) or experience auditing internal AI / LLM usage is a strong plus. * Technical Control Advisory: Demonstrated ability to translate ...

Sr. Technology Auditor

Santa Barbara, CA · On-site +1

$104K - $137K/yr

Exposure to emerging AI governance frameworks (e.g., NIST AI RMF) or experience auditing internal AI / LLM usage is a strong plus. * Technical Control Advisory: Demonstrated ability to translate ...

Senior Data Governance Professional

Irvine, CA · Hybrid

$113K - $154K/yr

Knowledge of AI risk management frameworks (e.g., NIST AI RMF) and practical approaches to Responsible/Ethical AI. * Strong interpersonal and collaborative skills, with a proven ability to work in a ...

Sr. Technology Auditor

San Diego, CA

$100K - $131K/yr

Exposure to emerging AI governance frameworks (e.g., NIST AI RMF) or experience auditing internal AI / LLM usage is a strong plus. * Technical Control Advisory: Demonstrated ability to translate ...

Apply Early

CA

$110K - $145K/yr

Exposure to emerging AI governance frameworks (e.g., NIST AI RMF) or experience auditing internal AI / LLM usage is a strong plus. * Technical Control Advisory: Demonstrated ability to translate ...

Sr. Technology Auditor

San Diego, CA

$100K - $131K/yr

Exposure to emerging AI governance frameworks (e.g., NIST AI RMF) or experience auditing internal AI / LLM usage is a strong plus. * Technical Control Advisory: Demonstrated ability to translate ...

Sr. Technology Auditor

Goleta, CA

$101K - $133K/yr

Exposure to emerging AI governance frameworks (e.g., NIST AI RMF) or experience auditing internal AI / LLM usage is a strong plus. * Technical Control Advisory: Demonstrated ability to translate ...

Apply Early

Senior GRC Lead

San Francisco, CA · On-site +1

$134K - $185K/yr

You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF ...

Customer Trust Specialist

San Francisco, CA · On-site

$20 - $26.50/hr

Answer the AI-trust questions buyers now ask: questions on training-data handling and retention, model-provider subprocessors, data residency, and our EU AI Act, ISO/IEC 42001, and NIST AI RMF ...

Strong understanding on EU AI Act, GDPR, ISO 42001 or NIST AI RMF like frameworks. About Our Team: Join our team, known for its collaborative ethos, working seamlessly with global customers, internal ...

Strong understanding on EU AI Act, GDPR, ISO 42001 or NIST AI RMF like frameworks. About Our Team: Join our team, known for its collaborative ethos, working seamlessly with global customers, internal ...

Strong understanding on EU AI Act, GDPR, ISO 42001 or NIST AI RMF like frameworks. About Our Team: Join our team, known for its collaborative ethos, working seamlessly with global customers, internal ...

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Showing results 1-20

Ai Rmf information

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.

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 cities in California are hiring for Ai Rmf jobs? Cities in California with the most Ai Rmf job openings:
Infographic showing various Ai Rmf job openings in California as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 9% Full Time, 87% Part Time, 1% Temporary, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Head of Security and Compliance

Gimlet Labs

San Francisco, CA • On-site

$270K - $330K/yr

Full-time

Posted 14 hours ago


Job description

About Us
Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them.
The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.
About this role
Gimlet Labs is looking for a Head of Security and Compliance to build and own the security and compliance foundation for an AI company operating across rapidly evolving AI systems serving production scale traffic for top frontier labs and hyperscalers.
This is a highly hands-on role for someone who can design the compliance program, implement the technical controls, and work directly with engineering to make security auditable, scalable, and practical. You will have significant ownership over the compliance stack, including policies, controls, evidence collection, audit readiness, vendor risk, and security tooling.
What you will work on
  • Partner directly with engineering, infrastructure, and product teams to identify security risks and design practical controls across AI platforms, cloud infrastructure, networking systems, APIs, and software delivery pipelines.
  • Build and operationalize security and compliance programs supporting frameworks such as SOC 2, ISO 27001, NIST CSF, NIST AI RMF, CSA CCM, and customer security requirements.
  • Drive improvements to cloud and application security controls, including IAM, network segmentation, encryption, logging, secrets management, vulnerability management, and secure SDLC practices.
  • Help define security approaches for AI systems, including model access controls, data protection, third-party AI tooling, auditability, and misuse prevention.
  • Build scalable processes for audit evidence collection, risk tracking, remediation management, and security reporting across technical and non-technical stakeholders.
  • Contribute to broader security and operational readiness efforts including vendor risk management, incident response preparedness, business continuity planning, and security policy development.
You may be a good fit for
  • Experience in security risk, compliance, GRC, cloud security, or infrastructure security.
  • Working knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with networking concepts including firewalls, VPC/VNet design, VPNs, DNS, TLS, routing, segmentation, and zero trust principles.
  • Understanding of software security concepts, including secure SDLC, CI/CD, vulnerability management, secrets management, and API security.
  • Experience with compliance frameworks such as SOC 2, ISO 27001, NIST, CIS Controls, or CSA CCM.
  • Ability to document controls, gather evidence, assess gaps, and drive remediation with engineering teams.
  • Strong written and verbal communication skills.
Strong candidates may also have
  • Experience in an early-stage startup or high-ownership environment.
  • Experience supporting AI, machine learning, data infrastructure, or SaaS platforms.
  • Familiarity with AI governance frameworks such as NIST AI RMF or ISO/IEC 42001.
  • Experience with Kubernetes, containers, infrastructure as code, and cloud-native security tooling.
  • Certifications such as CISSP, CISA, CRISC, CCSP, CCSK, Security+, AWS Security Specialty, or Azure Security Engineer.
  • Experience implementing or administering GRC platforms, SIEMs, CSPM tools, vulnerability scanners, and ticketing workflows.