AI Security Engineer: Agentic AI & Platform Governance

U3 INFOTECH PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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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

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.

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