- Minimum 7-10 years of experience in a hands-on security architecture and engineering role in an agile SaaS development organization
- Proven success driving cross-functional security initiatives in an agile SaaS development organization
- Solid foundation and experience in App Sec core domains
- Direct, hands-on, end to end, experience with the following
- Security architecture and implementation in context of microservice, cloud-native, and serverless application architectures
- Git Ops implementation, security, and utilization
- Security tooling and automation development, as software
- Continuous security and compliance
- Recent hands-on exposure to securing AI/ML environments
- Working familiarity with AI/ML security risks and frameworks — OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act. You don't need to have lived in these for years; you need to understand what they're solving for
- Awareness of agentic AI architectures and the risks that come with them — autonomous agents,



tool orchestration, memory systems, multi-agent coordination

Preferred

- We know AI security is a recent discipline. These aren't screens — they're signals of someone who's been leaning into this space.
- Direct experience with LLM security, model red-teaming, or AI threat modeling
- Hands-on work securing agentic AI systems (e.g., Lang Chain, Auto Gen, CrewAI, or similar frameworks)
- Experience contributing to or implementing AI governance programs, risk registers, or responsible AI policies
- Experience with security incident response in AI/ML environments with AI/ML workloads
- Familiarity with AI governance principles: model transparency, explainability, bias/fairness considerations, and data lineage
- Relevant certifications, e.g. ISC2 (AI Security, CISSP, CCSP, CSSLP, ISSAP, ISSEP)

📌 AI Security Engineer (India)
🏢 ValueLabs
📍 India