AI Agent Security & Governance Engineer

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