Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong company brand and metro location but specialized MLSecOps skillset balances candidate density.
Role requires niche MLSecOps and AI red-team expertise, limiting cross-industry transferability.
Explicit 4-12+ years requirement plus mandatory AI offensive security experience makes filters highly strict.
Lead AI-specific offensive security assessments including prompt injection chains, RAG pipeline poisoning, and agent identity spoofing to secure o9's GenAI platform and agentic AI ecosystem.
Conduct and lead AI red team exercises and scenario-based tabletop exercises, delivering CVSS scored and MITRE ATLAS mapped findings with actionable remediation guidance.
Develop AI security automation tools such as prompt fuzzing harnesses, guardrail regression tests, and detection rule generators, and contribute to threat modeling for agentic systems to improve SOC detection.
4-12+ years of experience in application security, AI/ML security, or offensive security research with at least one AI-specific assessment or published finding.
Hands-on offensive experience across LLM attack surfaces including jailbreaks, multi-modal injection, agentic control gaps, and indirect prompt injection.
Working knowledge of MLOps pipelines, ML engineering concepts, or cloud security.
Work Experience Required: 4-12+ years in relevant security roles.
Experienced in operating offensive security research specifically targeting AI/ML systems, especially large language models and autonomous agents.
Capabilities in both offensive security and tool development for AI security automation and detection engineering feedback loops.
Strong strategic focus on securing large-scale, complex generative AI platforms and agentic AI ecosystems in enterprise environments.