Lead ML Security - Agentic Security
About the Role
You will lead the design and execution of AI product security, applying threat modeling, secure SDLC practices, and AI-aware controls. You will build and maintain security processes (code review, pen testing, continuous validation), design secure architectures for ML pipelines and agentic systems, and develop automation for scanning, vulnerability prioritization, and remediation. You will run workshops and training, coordinate penetration tests, perform deep-dive assessments with stakeholders, and represent the organization at industry working groups to influence GenAI security best practices.
Requirements
- 8+ years of experience in application security or secure software architecture including leadership or mentoring roles
- Expertise in threat modeling, secure SDLC, and security automation across cloud-native and AI-driven environments
- Proven success building or scaling product security programs
- Familiarity with emerging AI threats such as prompt injection, model exfiltration, and LLM misalignment
- Experience with security tooling and CI/CD integration (42Crunch, BlackDuck, Fortify, SonarQube, Wiz, Prisma Cloud, BurSuite, Sysdig, NowSecure or similar)
Responsibilities
- Lead development and implementation of AI product security program
- Build and maintain security processes including threat modeling, code review, pen-testing, and continuous security validation
- Define and maintain AI security control frameworks and reference threat models for LLM systems
- Design secure architectures for AI pipelines, agentic systems, and inference workflows
- Develop and deploy AI-aware security automation for scanning, vulnerability prioritization, and remediation
- Drive security education and awareness through workshops and training for engineers and executives
- Perform deep-dive security assessments and translate findings into actionable roadmaps
- Coordinate internal and external penetration testing and ensure remediation ownership
- Represent the company at conferences and working groups to influence GenAI security practices
Skills
Threat ModelingVulnerability ScanningSecure SdlcScaSecurity AutomationPrompt InjectionSamlOidcData Center OperationsApi SecuritySupply Chain SecurityBurp SuiteWizSonarqubeHigh-Performance ComputingData HandlingMlInferenceAiResponsible AiRemediationCi/CdLlmModel Supply Chain42crunchBlackduckFortifyPrisma CloudBursuiteSysdigNowsecureHpcMl InfrastructureEnergy-Aware Computing