Senior AI Security Engineer
InvoiceCloud, Hyderabad, India +1
What you will do
- AI Security Architecture & Secure Design
- Design and implement security controls for AI/ML and generative AI systems across the full lifecycle (data → training → evaluation → deployment → monitoring).
- Establish secure reference architectures for common patterns (e.g., retrieval-augmented generation (RAG), model gateways, tool/agent execution) with least privilege, data minimization, and isolation.
- Threat Modeling & Risk Assessment
- Perform AI/ML threat modeling for new and existing systems, including prompt injection, data poisoning, model extraction, data leakage, and abuse/misuse scenarios.
- Map risks to industry frameworks (e.g., OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF) and drive mitigations with engineering teams.
- Secure MLOps / MLSecOps
- Partner with DevSecOps/MLOps to integrate security into AI delivery pipelines (secure model registry, artifact signing, provenance, access control, dependency scanning, secrets management, CI/CD guardrails).