AI Agent Security

1 week ago


Hyderabad, Telangana, India SID Information Technologies Full time US$ 12,00,000 - US$ 24,00,000 per year

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

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