Sr. Cybersecurity AI Compliance Analyst

Marvell Technology•Santa Clara, CA

7d•$138,840 - $208,000

About The Position

Marvell is seeking an AI Security Compliance Analyst to drive security and compliance across the organization's use of AI technologies. This role partners closely cross functionally to identify risks, assess security controls, and support alignment with regulatory requirements, industry standards, and internal policies. The successful candidate will help protect Marvell's data, intellectual property, and AI-enabled capabilities while supporting the secure adoption of emerging technologies.

Requirements

Bachelor's degree in cybersecurity, computer science, information systems, or a related field, or equivalent experience
5 - 8 years of experience in cybersecurity, IT risk management, security compliance, or a related field
Familiarity with AI/ML concepts and how models are developed, trained, deployed, and integrated into production systems
Strong understanding of security frameworks and standards (e.g., NIST CSF, ISO/IEC 27001, SOC 2, NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 27017) and emerging AI-specific security regulations
Working knowledge of common AI/ML security threats (adversarial attacks, data poisoning, model extraction, prompt injection) and general security domains (identity and access management, network security, data protection).
Experience developing and maintaining risk and controls matrix for security controls, including those focused on AI.
Experience developing testing procedures, executing audits, documentation, findings alignment with cross-functional stakeholders, developing risk management actions, performing timely updates, and communication of summary testing report.
Excellent written and verbal communication skills, with the ability to explain technical security and regulatory concepts to varied audiences
Strong analytical skills and attention to detail

Responsibilities

Monitor and interpret emerging AI security regulations and standards (e.g., EU AI Act security provisions, NIST AI Risk Management Framework, NIST Cybersecurity Framework, ISO/IEC 42001, ISO/IEC 27001) and translate requirements into actionable internal policies
Security review against standards of AI plug-ins, agents, MCP connectors, and third-party AI APIs (including semiconductor EDA/AI design tools) before integration into Marvell's environment.
Conduct security risk assessments and audits of AI models, pipelines, and infrastructure to identify vulnerabilities and compliance gaps
Plan cyber security assessments and execute testing, including: testing procedures, executing audits, documentation, findings alignment with cross-functional stakeholders, developing risk management actions, performing timely updates, and communication of summary testing report.
Assess AI systems for exposure to adversarial threats such as prompt injection, model poisoning, data exfiltration, model extraction/theft, and evasion attacks
Partner with security engineering, MLOps, data science, legal, and product teams to embed security and compliance checkpoints throughout the AI development lifecycle
Maintain documentation for AI security governance, including threat models, risk classifications, security impact assessments, and audit trails
Review access controls, data handling practices, and third-party/vendor AI tools for compliance with data protection and security requirements
Support internal and external security audits, regulatory inquiries, penetration test follow-up, and certification processes (e.g., SOC 2, ISO 27001)
Develop and deliver training materials to help staff understand AI-specific security risks and compliance obligations
Track remediation efforts for identified findings and compliance issues, and report status and risk posture to leadership
Stay current on the threat landscape, industry best practices, enforcement trends, and incident case studies related to AI security