AI CyberSecurity Engineer

U3 INFOTECH PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

U3 INFOTECH PTE. LTD. is seeking a highly skilled AI Cybersecurity Engineer to design, secure, deploy, and manage enterprise-grade AI systems. The role focuses on governance, scalability, and operational excellence across GenAI and Agentic AI architectures.

Responsibilities include implementing AI guardrails, threat modeling, and secure AI gateways, as well as integrating agents with enterprise APIs, databases and cloud services. AWS/Kubernetes certifications are a plus.

Qualifications

• 5+ years in cyber security/IT security governance.
• 2+ years AI/ML or GenAI development experience.
• Good knowledge of Agentic AI architectures.
• 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.

Responsibilities

• Design 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.
• Design 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 centralized AI platform capabilities for enterprise teams.

Skills

Cyber security

IT risk mgmt

GenAI development

Agentic AI

AI governance

Threat modeling

Compliance

Security certifications

Tools

Kubernetes

Terraform

AWS

Job description

Summary

We are seeking a highly skilled AI Cybersecurity 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 & Governance

• Design 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 Development

• Design 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 Engineering

• Design 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.

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