Job Title: AI Security Engineer
Location: Mumbai | Work Type: Hybrid
Experience Required: 7+ years | Notice Period: 3045 days
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
Nice to Have
- Experience in BFSI or regulated environments
- Exposure to Responsible AI, AI governance, or adversarial ML
Core Skills
Artificial Intelligence | Machine Learning | AIML | Cybersecurity
Interested Candidates Can Share Their Updated Resume On [Confidential Information]
