Cybersecurity Engineer

Summary:We are seeking a highly skilled AI Cyber Security Engineer with expertise in Agentic AI, AI Security, AI Gateway architectures, Guardware implementation, Kubernetes (EKS), Terraform, and AI application development. The ideal candidate will design, secure, deploy, and manage enterprise-grade AI systems while ensuring governance, compliance, scalability, and operational excellence. Key Responsibilities:AI Security & GovernanceDesign and implement AI security frameworks for GenAI and Agentic AI applications. Develop security controls for LLMs, RAG systems, AI agents, and multi-agent architectures. Implement AI guardrails, content filtering, prompt injection protection, data leakage prevention, and model governance. Conduct threat modeling, risk assessments, and security reviews for AI systems. Ensure compliance with enterprise security standards and regulatory requirements. Agentic AI DevelopmentDesign and build autonomous and semi-autonomous AI agents. Develop multi-agent workflows using modern agent orchestration frameworks. Integrate AI agents with enterprise systems, APIs, databases, and cloud services. Build and optimize RAG pipelines and AI workflow automation.AI Gateway & Platform EngineeringDesign and manage AI Gateway solutions for model routing, security, observability, and governance. Implement API security, authentication, authorization, rate limiting, and monitoring. Manage model access controls and AI service consumption across multiple LLM providers. Build centralized AI platform capabilities for enterprise teams.Skillset Requirements:Minimum 5 years of cyber security/IT security experience, IT risk management & governance. Minimum 2 years of AI/ML or GenAI development experience. Good Knowledge of Agentic AI architectures.Should be familiar with AI Guardrails / Guardware or similar tools.Experience securing enterprise AI platforms and Agentic AI solutions. Relevant AWS, Kubernetes, or Security certifications are a plus.