Senior AI SecOPS Engineer(Contract)

Saaki Argus And Averil Consulting; Chennai; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Saaki, Argus and Averil Consulting in India is seeking an experienced cybersecurity leader to design and implement security controls for AI/LLM-powered systems. The role requires deep expertise in cloud, application and AI security, with hands-on threat modeling and risk assessment capabilities.

The candidate will collaborate with cross-functional cloud security, engineering and governance teams to establish robust AI security governance, policies and compliance documentation, while ensuring

Qualifications

• 8+ years of experience in Cybersecurity, Cloud Security, Application Security or Security Engineering.
• Hands-on experience implementing and assessing enterprise security controls.
• Hands-on experience securing production LLM applications, AI Agents or AI-enabled systems.
• Knowledge 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.

Responsibilities

• Design and implement security controls for AI Agents and LLM-powered applications.
• Identify and mitigate AI security threats including Prompt Injection and data exposure.
• Conduct threat modelling and risk assessments for AI-enabled systems.
• Develop AI security governance, policies and compliance documentation.
• Collaborate with cloud security, application engineering and governance teams.

Skills

Cybersecurity

Cloud Security

Application Security

Security Engineering

AI Security

Threat Modelling

Risk Assessment

IAM & Governance

Python

Terraform

Git

CI/CD

Tools

Python

Terraform

Git

CI/CD

Job description

Key Responsibilities8+ 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.Strong 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