AI Security Engineer: Guardrails & Cloud Security

U3 SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

U3 SOLUTIONS PTE. LTD. is delivering an enterprise AI Guardrails capability to provide centralized, auditable runtime protection for AI-enabled applications. The project uses AWS EKS for control plane and GPU-enabled compute for high-performance model execution, with a unified admin console and a multi-AZ high-availability deployment.

The initiative covers deployment topology, governance, and foundational platform setup with native AI Gateway integration to support enterprise-scale operations.

Qualifications

• Minimum 6 years of experience in cybersecurity, application security, cloud security, platform security, or secure software engineering.
• Minimum 2 years of hands-on experience in AI Security, Generative AI Security, AI application security, or AI/ML security within an enterprise environment.
• Hands-on experience securing AI systems and Large Language Models (LLMs), including GPT, Claude, Llama, Gemini, or equivalent models.
• Strong understanding of AI security risks and controls, including prompt injection, data leakage, model poisoning, insecure output handling, model theft, supply chain risks, and agentic AI threats.
• Hands-on experience with AI Security Guardrails, AI Red Teaming, AI Model Scanning, AI risk assessments, and threat modeling.
• Hands-on experience designing, developing, assessing, or securing Agentic AI systems and Model Context Protocol (MCP) ecosystems.
• Experience with Cloud AI platforms such as AWS Bedrock, AWS SageMaker, Azure AI Foundry/Azure ML, or Google Vertex AI.
• Strong programming and scripting skills in Python and at least one additional language such as Java, Go, C#, or C++.
• Strong understanding of REST APIs, JSON, authentication protocols, and API security.
• Experience in conducting security assessments, threat modeling, security architecture reviews, and secure design reviews.
• Experience with DevSecOps practices, CI/CD pipelines, Infrastructure as Code (IaC), GitHub/GitLab, automated security testing, and cloud-native deployments.
• Experience with container and orchestration technologies such as Docker and Kubernetes.

Skills

Cybersecurity

AI Security

AI/ML security

Threat modeling

AI Guardrails

Red Teaming

Model Scanning

MCP ecosystems

Cloud AI platforms

Python

Java

Go

C#

C++

REST APIs

API security

DevSecOps

IaC

GitHub/GitLab

Docker

Kubernetes

Tools

AWS Bedrock

AWS SageMaker

Azure AI Foundry

Google Vertex AI

Job description

U3 SOLUTIONS PTE. LTD. is delivering an enterprise AI Guardrails capability to provide centralized, auditable runtime protection for AI-enabled applications. The project uses AWS EKS for control plane and GPU-enabled compute for high-performance model execution, with a unified admin console and a multi-AZ high-availability deployment.

The initiative covers deployment topology, governance, and foundational platform setup with native AI Gateway integration to support enterprise-scale operations.