AI Agent Security

6 days ago

Vijayawada, India SID Information Technologies Full time

Role: AI Agent Security and Governance Engineer Experience: 6–12 years Location: Hyderabad Work Mode: Hybrid (3 days/week in-office) Domain: Healthcare / Life Sciences Join Time: Immediate Employment Type: Full-Time/Contract Role 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 Now Send your updated resume to careers@sidinformation.com

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