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 AppSec 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 GitOps 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., LangChain, AutoGen, 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 (Hyderabad)
🏢 ValueLabs
📍 Hyderabad