AI Agent Security

4 days ago

Rajkot, 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 EngineeringSecure 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 ManagementPerform AI-focused threat modeling , bias risk assessment, and security posture evaluation. Develop processes for safe, explainable, auditable, and ethical AI usageDefine AI governance controls for Healthcare/Life Sciences, ensuring compliance with HIPAA, GDPR, SOC2 , and internal policies.Security Operations & MonitoringMonitor 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 EnablementWork 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 & Experience6–12 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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