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Open nowPosted today

AI Security Engineer

U3 SOLUTIONS PTE. LTD.

Pay
SGD 8,000 – SGD 13,000 a month
Where
Singapore
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Your applicationOpen nowAI Security EngineerU3 SOLUTIONS PTE. LTD. · Singapore
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11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted today

The posting

Summary:

  • The project delivers an enterprise AI Guardrails capability to provide centralized, consistent, and auditable runtime protection for AI-enabled applications.
  • Deployment of AI Guardrails by leveraging AWS EKS to manage the control plane while hosting the inference data plane on GPU enabled compute for high-performance model execution.
  • The solution will include a unified administration console and a multi-AZ, high-availability deployment architecture. Key deliverables encompass the deployment topology, governance framework, and foundational platform setup with native integration with AI Gateway to support enterprise-scale operations.

Skillset Requirements:

  • 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.
  • Knowledge of SAST, DAST, SCA, secrets management, software supply chain security, and secure software development practices.
  • Ability to produce architecture designs, security assessments, technical documentation, and process flows.
  • Strong stakeholder management, communication, collaboration, and problem-solving skills.
  • Possess positive learning and collaborative mindset.
  • Good written and verbal communication skills.
  • Agile, fast learner and able to adapt to changes.

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