Key Requirements

AI Security (Mandatory)
Deep understanding of AI and Machine Learning security concepts.
Experience identifying and mitigating threats specific to Large Language Models (LLMs), including prompt injection, data poisoning, model manipulation, and data leakage risks.

Model Armor (Nice to Have)
Understanding of Model Armor and its role as an AI-specific security layer.
Knowledge of implementation steps, threat detection capabilities, and security policy enforcement mechanisms.

AI Project Experience (Mandatory)
Proven hands-on experience implementing and managing security controls for AI/ML projects.
Ability to discuss previous AI security projects, architecture, challenges, and security outcomes in detail.

Threat Detection & Response (Mandatory)
Experience defining detection criteria for security threats.
Solid understanding of incident response, alert tuning,



and managing false positives effectively.

Terraform (Mandatory)
Hands-on experience with Terraform for Infrastructure as Code (IaC).
Experience deploying and managing security infrastructure in cloud settings.

Python (Mandatory)
Strong Python programming and scripting skills.
Experience developing security automation, integrations, and AI-related applications.

Google Cloud Platform (Mandatory)
Solid hands-on experience with Google Cloud Platform (GCP).
Experience working with cloud security, IAM, networking, monitoring, logging, and AI/ML services on GCP.

Preferred Experience
Securing Generative AI and LLM-based applications.
Cloud Security and DevSecOps practices.
AI governance and risk management frameworks.

📌 Ai Secops Engineer Bengaluru
🏢 Artech
📍 Bengaluru