AI Security Engineer

About Marvell

Marvells 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

Marvells 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 doesnt 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 Marvells 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 teams subject matter expert on AI risk
• Track and report posture trends and risk reduction progress to security leadership and business stakeholders

What Were 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
• Bachelors degree in Computer Science Information Technology Cybersecurity or related field; Masters 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)

131540 - 197000 $ per annum

The successful candidates 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 Marvells 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 companys 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 lifes 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 .

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.

#LI-JS22