Sr. CyberSecurity Engineer | AI Agent Security | Hyderabad

Position Details: • Role: Sr. CyberSecurity Engineer | AI Agent Security • Experience: 6 Years • Location: Hyderabad, India • Joining: Immediate Joiners Preferred • Client: US-Based Healthcare Organization We are looking for a highly skilled and passionate Sr. CyberSecurity Engineer – AI Agent Security to join our growing AI & Cybersecurity team in Hyderabad.

This role is focused on designing and securing next-generation AI Agents, Agentic AI workflows, and enterprise-grade Generative AI platforms for a leading US-based Healthcare organization. This opportunity is ideal for professionals who are excited about building secure, scalable, and autonomous AI systems at the intersection of AI, Cloud Security, Automation, and Cybersecurity . Key Responsibilities: Design, implement, and maintain enterprise cybersecurity solutions and controls Monitor, detect, investigate, and respond to security threats and incidents Conduct vulnerability assessments, penetration testing coordination, and remediation activities Secure enterprise applications, APIs, cloud platforms, and network environments Implement Identity & Access Management (IAM), MFA, Zero Trust, and RBAC strategies Configure and manage SIEM, EDR, IDS/IPS, DLP, and endpoint security solutions Ensure compliance with HIPAA, SOC2, ISO 27001, GDPR, and other regulatory standards Develop and enforce cybersecurity policies, standards, and best practices Support AI/LLM security initiatives including prompt security, AI governance, and secure AI deployment Required Skills: 6 years of experience in Cybersecurity and Information Security with expertise in Network, Endpoint, Cloud, and Application Security.

Hands-on experience with SIEM tools (Splunk, Sentinel, QRadar), EDR/XDR, Firewalls, IDS/IPS, WAF, and Vulnerability Management. Strong knowledge of IAM, Zero Trust, API Security, Incident Response, and DevSecOps. Experience with AWS, Azure, GCP, and scripting using Python, Bash, or PowerShell.

Hands-on expertise with LangGraph, LangChain, CrewAI, or similar agentic frameworks Understanding of MCP (Model Context Protocol), APIs, and API Gateways Experience in Cloud Security with focus on AI/LLM implementations Knowledge of AI Security, Prompt Injection Prevention, Guardrails, and Secure AI Deployment Passion for working at the intersection of AI, Automation, and Cybersecurity Preferred Background • Experience in Healthcare, Life Sciences, or regulated environments • Exposure to Generative AI, Multi-Agent Systems, and LLM-based applications • Familiarity with AWS, Azure, or GCP cloud ecosystems How to Apply Share your updated resume at: [email protected]