Key Responsibilities

- 8+ years of experience in Cybersecurity, Cloud Security, Application Security or Security Engineering.
- Minimum 5+ years of hands-on experience implementing and assessing enterprise security controls.
- Hands-on experience securing production LLM applications, AI Agents or AI-enabled systems.
- Solid understanding of AI/LLM Security, AI Agent Architecture, RAG and Tool Calling.
- Experience identifying and mitigating AI security threats such as Prompt Injection, unauthorized tool execution and sensitive data exposure.
- Strong experience in Security Architecture, Threat Modelling and Risk Assessment.
- Expertise in IAM, Authentication, Authorization, Least Privilege Access and Secrets Management.
- Experience with AWS, Azure or GCP Cloud Security.
- Knowledge of API Security, REST APIs, JSON and secure system integrations.




- Experience designing and implementing security controls for AI Agents and LLM-powered applications.
- Knowledge of OWASP Top 10 for LLM Applications, NIST AI Risk Management Framework and Cybersecurity Framework.
- Experience in AI Security Testing, Red Teaming, vulnerability assessment and security control validation.
- Ability to establish AI security governance, risk classification, security policies and compliance documentation.
- Working knowledge of Python, Terraform, Git, CI/CD and security automation is desirable.
- Excellent communication and documentation skills, with the ability to work independently and collaborate with cloud security, application engineering and governance teams

📌 Senior AI SecOPS Engineer(Contract) (India)
🏢 Saaki Argus And Averil Consulting
📍 India