Cybersecurity Engineer

U3 SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 140,000 - 190,000; Full time

Job summary

U3 SOLUTIONS PTE. LTD. seeks an AI Cyber Security Engineer to design, secure, deploy, and manage enterprise-grade AI systems with governance, compliance, and scalability at the forefront.

The role emphasizes secure AI engineering across GenAI, Agentic AI, and AI gateway platforms, with hands-on work in Kubernetes (EKS), Terraform, and cloud integrations to ensure robust security and governance throughout the stack.

Qualifications

• 5+ years in cyber security/IT security and governance.
• 2+ years in AI/ML or GenAI development.
• Solid knowledge of Agentic AI architectures.
• Familiar with AI Guardrails/Guardware or similar tools.
• Experience securing enterprise AI platforms and Agentic AI solutions.
• Certifications in AWS, Kubernetes or security 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.

Skills

Cyber security experience

GenAI/AI development

Agentic AI architectures

AI Guardrails/Guardware

Enterprise AI security

Cloud certifications (AWS/Kubernetes)

Tools

Kubernetes (EKS)

Terraform

AWS

Job description

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 & 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.