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Ai Rmf Jobs in California (NOW HIRING)

HCLTech

AI Architect

Santa Clara, CA

Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability : Architect scalable integration patterns for agentic systems ...

Adobe

AI Security Controls Engineer

San Jose, CA

Ensuring alignment with internal policies and external regulatory frameworks (e.g., ISO/IEC 42001, NIST AI RMF, EU AI Act). * Evaluating threat models across the AI lifecycle to address risks ...

Capgroup

AI Risk Specialist

Los Angeles, CA

$106K/yr

This Associate will work closely with first line partners to implement the AI RMF, providing subject matter expertise and technical guidance to technology/ business process and control owners, and ...

Wsgr

Senior AI Risk Advisor

Palo Alto, CA · On-site +1

S. state AI laws, bar association guidance on AI in legal practice, and frameworks such as the NIST AI RMF and ISO 42001, translating them into actionable firm guidance * Serve as the firm's internal ...

Wsgr

Senior AI Risk Advisor

San Diego, CA · On-site +1

S. state AI laws, bar association guidance on AI in legal practice, and frameworks such as the NIST AI RMF and ISO 42001, translating them into actionable firm guidance * Serve as the firm's internal ...

Wsgr

Senior AI Risk Advisor

Los Angeles, CA · On-site +1

S. state AI laws, bar association guidance on AI in legal practice, and frameworks such as the NIST AI RMF and ISO 42001, translating them into actionable firm guidance * Serve as the firm's internal ...

Wsgr

Senior AI Risk Advisor

San Francisco, CA · On-site +1

S. state AI laws, bar association guidance on AI in legal practice, and frameworks such as the NIST AI RMF and ISO 42001, translating them into actionable firm guidance * Serve as the firm's internal ...

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Ai Rmf information

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.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Cyber AI Engineer

Phizenix

San Francisco, CA

Full-time

Posted 13 days ago

Job description

The Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI-specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI security capabilities into robust cybersecurity architectures
Key Responsibilities:
• Design, develop, and optimize AI-security-specific threat models, tools, and solutions for threat identification, prediction, and prevention.
• Implement and secure machine learning models, GenAI models, and AI techniques to enhance threat detection, monitoring, and risk scoring.
• Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders.
• Analyze AI security incident data to refine and improve AI models and methodologies.
• Provide technical leadership and mentorship to junior engineers in AI and machine learning.
• Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLMs) and advanced security architectures (Agentic, MCP).
• Stay abreast of emerging trends and advancements in AI and cybersecurity.
Required Qualifications:
• A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related discipline is required.
• 5+ years of experience in AI-focused cybersecurity in an enterprise environment.
• Expertise in Python, R, Java, or similar programming languages.
• Deep understanding of machine learning, neural networks, and application to security systems.
• Hands-on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence).
• 3+ years' experience in Azure or AWS cloud-native services, architectures, and tools.
• Expertise in enterprise architectures (including cloud-native and AI architecture patterns).
• Advanced knowledge of security and governance frameworks (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLM).
• Strong communication and collaboration skills.
Preferred Qualifications
• Experience with implementing OWASP Top 10 LLM Threats in practice with any industry or open-source product.
• Working experience in Threat Modeling
• Experience with agentic and Model Context Protocol (MCP) architectures.
• Demonstrated ability to lead cross-functional technical teams.
• Track record of published research or thought leadership in AI security.