AI Agent Security

4 days ago

Lucknow, India SID Information Technologies Full time

Role: AI Agent Security and Governance EngineerExperience: 6–12 yearsLocation: HyderabadWork Mode: Hybrid (3 days/week in-office)Domain: Healthcare / Life SciencesJoin Time: ImmediateEmployment Type: Full-Time/ContractRole Summary:We are seeking an AI Agent Security & Governance Engineer with strong cybersecurity expertise and practical understanding of AI/ML systems. In this role, you will secure enterprise AI agents, LLM applications, ML models, and data pipelines used across Healthcare and Life Sciences workflows. You will help define governance, enforce secure-by-design principles, safeguard sensitive data, and ensure responsible, compliant, and safe AI operations.Key Responsibilities:- AI/LLM Security Engineering- Secure AI/ML pipelines, LLM APIs, RAG systems, vector databases, and agentic AI workflows.- Implement controls against prompt injection, adversarial ML attacks, data poisoning, model inversion, model theft, and harmful agent actions.- Embed security-by-design into AI development and deployment lifecycles.- Governance, Compliance & Risk Management- Perform AI-focused threat modeling, bias risk assessment, and security posture evaluation. Develop processes for safe, explainable, auditable, and ethical AI usage- Define AI governance controls for Healthcare/Life Sciences, ensuring compliance with HIPAA, GDPR, SOC2, and internal policies.- Security Operations & Monitoring- Monitor AI agents and ML models for drift, anomalies, misuse, hallucinations, and adversarial behavior.Investigate and resolve incidents involving AI security breaches or misbehavior.- Build automated pipelines for red-teaming, adversarial testing, and model robustness validation.- Collaboration & Cross-Functional Enablement- Work closely with data scientists, ML engineers, DevSecOps, product owners, and clinical domain teams.- Develop AI security documentation, runbooks, and governance playbooks.- Lead training sessions for engineering teams on AI/ML security best practices.- Required Skills & Experience- 6–12 years of experience across Cybersecurity, AI/ML Security, Application Security, or Cloud Security.- Cybersecurity expert with proven hands-on experience implementing security protocols to safeguard AI systems, models, and data workflows.- Deep understanding of cyber security frameworks, methodologies, and industry standards, including NIST, MITRE ATT&CK, OWASP, ISO27001.- Experience with LangChain, LangGraph, Guardrails AI, Bedrock/Gemini/OpenAI integrations.- Exposure to privacy technologies such as differential privacy, tokenization, and federated learning.- Track record of staying current with new AI threats, emerging vulnerabilities, and evolving security best practices.- Experience securing cloud environments (AWS / GCP / Azure) and containerized systems (Kubernetes, Docker).- Strong technical knowledge of LLM architecture, embeddings, RAG mechanisms, vector stores, and agentic AI frameworks.- Familiarity with adversarial ML methods: prompt injection, model inversion, membership inference, data poisoning.- Proficiency in Python or similar languages for automation and testing.- Understanding of Healthcare/Life Sciences security and compliance (HIPAA, PHI, data sensitivity).Apply NowSend your updated resume to

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