AI Security Architect (MLOps)

About the role

We are looking for a AI offensive Security researcher / Senior AI Security Architect with MLSecOps experience to lead the next generation of AI-native security at o9. securing o9’s GenAI platform and agentic AI ecosystem from emerging threats, and building AI/ML-driven capabilities that transform how our security operations detect, predict, and respond to adversarial activity across 500+ customer environments.

What you'll do

• Design and execute AI-specific VAPT engagements - prompt injection chains, RAG pipeline poisoning, agent identity spoofing
• Lead structured AI red team exercises and scenario-based tabletops , delivering CVSS - scored, MITRE ATLAS mapped findings with actionable remediation guidance
• Build and maintain AI security automation tooling: prompt fuzzing harnesses, guardrail regression test suites, and detection rule generators fed by red team TTP libraries
• Contribute to threat modeling for agentic systems -mapping trust boundaries, privilege escalation paths, and blast radius across autonomous agent clusters
• Feed red team findings back into detection engineering as quality inputs, closing the loop between offensive discovery and SOC coverage gaps

What you need

• 10–15 yrs of experience
• MLOps
• Vulnerability assessment
• Cloud security
• LLMs
• Machine learning
• Any graduate