AI Security Engineer

Job Title: AI Security Engineer

Location: Mumbai

Work Type: Hybrid

Role Overview

We are looking for an AI Security Engineer to secure AI/ML and Large Language Model (LLM)based systems across their lifecycle. The role focuses on protecting AI models, data, pipelines, and integrations from emerging AI-specific threats while enabling safe and responsible AI adoption within the enterprise.

Key Responsibilities

• Secure LLMs, ML models, NLP systems, and deep learning pipelines
• Identify and mitigate AI risks including prompt injection, data leakage, model poisoning, hallucination misuse, and unauthorized model access
• Implement AI guardrails such as input/output validation, PII masking, and content filtering
• Deploy and manage LLM firewall / AI security tools (Giskard, AI Shield, Arthur Shield, or similar)
• Secure RAG pipelines, fine-tuning workflows, and agentic AI architectures
• Protect AI workloads on Azure AI Foundry and Azure OpenAI
• Govern usage of Hugging Face models/datasets and Microsoft Copilot
• Integrate AI security controls into CI/CD and MLOps pipelines
• Support AI risk assessments, audits, and regulatory compliance

Required Technical Skills

• Strong understanding of LLMs, ML, NLP, and deep learning
• Knowledge of OWASP Top 10 for LLMs and AI threat models
• Experience with Azure AI platforms, APIs, IAM, encryption, and logging
• Hands-on experience with AI security / LLM firewall tools
• Solid foundation in application security, cloud security, and DevSecOps

Qualifications

• Bachelors or masters degree in computer science, Information Security, AI/ML, or related field

610 years of experience in Security Engineering, Cloud Security, or AI/ML Security