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Ai Rmf Jobs in California (NOW HIRING)

Zoomcar

Principal AI Security Engineer

Sunnyvale, CA · On-site

$160 - $220/hr

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 ...

Koitecc Solutions

Sr. RMF Security Engineer

San Diego, CA · On-site

$120 - $180/hr

Experience with AI agentic workflows that incorporate the NIST RMF for code compliance and vulnerability mitigation. * Understanding NIST SP 800-207 (Zero Trust Architecture) and its intersection ...

Aveva

AI Software Engineer

Lake Forest, CA · Hybrid

$103K - $172K/yr

Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. * Experience working in Agile teams and collaborating across global R&D locations ...

Fortinet

Principal AI Security Engineer

Sunnyvale, CA · On-site +1

Strong understanding on EU AI Act, GDPR, ISO 42001 or NIST AI RMF like frameworks. This position is fully onsite and requires regular attendance at our Sunnyvale, CA location. Remote or hybrid ...

Leidos

Sr. RMF Security Engineer

San Diego, CA · On-site

$131K - $237K/yr

Experience leveraging AI agentic workflows that incorporate with the NIST RMF to analyze one or more code bases to provide security compliance coverage and mitigate vulnerabilities per the applicable ...

Capgroup

AI AppSec Engineer Lead

Irvine, CA · On-site

$63 - $84.25/hr

You are familiar withkey AI regulatory frameworks such asNIST AI RMF, MITRE ATLAS, GDPR, EU AI Act,etc * You have Information Security certifications (CISSP, SANS GIAC, CISA, etc.) "I can apply in ...

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Ai Rmf information

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 California?

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

What job categories do people searching Ai Rmf jobs in California look for?

The top searched job categories for Ai Rmf jobs in California are:

What cities in California are hiring for Ai Rmf jobs?

Cities in California with the most Ai Rmf job openings:

Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Security Engineer

Marvell Technology, Inc.

Santa Clara, CA • On-site

Full-time

Life, Retirement

Posted 11 days ago

Job description

About Marvell
Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
Marvell's AI footprint is expanding rapidly across the tools employees use, the systems we build, and the third-party software we depend on. This role ensures that expansion doesn't outpace our security controls: owning the platforms and technical capabilities that identify AI risk, enforce protection, and drive remediation across the enterprise.
This is a hands-on engineering role on the Cyber Engineering & Platform team, with cross-functional reach into IT, GRC, IAM, AppSec, and Security Architecture. The right person brings deep technical capability, sound risk judgment, and the ability to communicate clearly across engineering and business audiences.
What You Can Expect
  • Administer and operate the AI security platform, designing and implementing preventive and detection policies that govern AI usage, enforce data protection controls, and surface risk across the environment
  • Serve as the cybersecurity representative across Marvell's AI platform ecosystem, partnering with GRC, Security Architecture, and enablement teams to define, validate, and enforce security requirements
  • Continuously assess AI assets for misconfigurations, excessive permissions, and policy gaps across SaaS, cloud, end user devices, and infrastructure where AI agents operate
  • Deploy and operate runtime protection capabilities, blocking prompt injection, data leakage, jailbreaks, and malicious content in real time
  • Partner with IAM, IT, and AppSec teams to enforce identity controls for human and agent identities, establish guardrails around autonomous AI agents, and validate AI model integrity prior to deployment
  • Leverage AI observability telemetry to identify anomalous behavior, policy violations, and emerging risk patterns and drive remediation with accountability across IT and business partners
  • Collaborate with Endpoint, Identity, SecOps, and other Cyber teams to ensure AI risk is visible and actionable across the existing security stack
  • Partner with Security Architecture to develop and maintain AI security standards, and support GRC as the engineering team's subject matter expert on AI risk
  • Track and report posture trends and risk reduction progress to security leadership and business stakeholders

What We're Looking For
  • 5 to 8 years in cybersecurity engineering with hands-on experience deploying and operating enterprise security platforms
  • Demonstrated experience with AI and ML risk domains including data exposure, shadow AI, prompt injection, supply chain risk, and model integrity
  • Hands-on experience with AI security platforms such as Palo Alto Prisma AIRS, Cisco AI Defense, Protect AI, Lakera, or Wiz AI Security
  • Familiarity with core enterprise security platforms including EDR, SIEM, DLP, SOAR, and NGFW
  • Experience securing AI workloads across cloud platforms (GCP, AWS, Azure) and SaaS environments
  • Familiarity with AI platform components including LLM gateways, MCP frameworks, RAG architecture, and agentic workflow platforms
  • Understanding of identity and access management in AI contexts including agent identity, token management, RBAC, and SSO
  • Experience with leading LLM providers (Claude, ChatGPT, Gemini) and AI assisted coding tools (Cursor, Claude Code, GitHub Copilot)
  • Experience contributing to or owning technical security standards or control frameworks
  • Proven ability to influence remediation outcomes across IT and business teams without direct authority
  • Strong communicator, effective in both technical and executive or audit settings
  • Familiarity with AI risk frameworks including NIST AI RMF, MITRE ATLAS, or OWASP LLM Top 10
  • Experience in semiconductor, hardware, or high IP technology environments
  • Background in detection engineering, security architecture, or security operations applied to AI contexts
  • Exposure to AI red teaming methodologies or adversarial machine learning concepts
  • Familiarity with policy as code concepts and data governance tooling in AI environments
  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related field; Master's degree preferred.
  • Industry certifications in cyber security and cloud are a plus, including CISSP, CAISP, CCSP, cloud platform security specializations (AWS, GCP, Azure) or equivalent GAIC

Expected Base Pay Range (USD)
131,540 - 197,000, $ per annum
The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
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