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Open nowPosted 24 days ago

AI Security Engineer

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 12,000 a month
Where
Central, Singapore
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Your applicationOpen nowAI Security EngineerMyCareersFuture · Central, Singapore
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The clock on this job

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7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 24 days ago

The posting

About the Role

Design, build, and operate the governance, safety, observability, traceability, and compliance capabilities of the organization's enterprise AI Platform. This is a hands-on role implementing technical controls, monitoring mechanisms, policy enforcement, and accountability features that keep AI solutions secure, governed, and trustworthy throughout their lifecycle.

What You'll Do

  • Design and implement governance controls, policy enforcement, and technical guardrails across the AI Platform — covering model use, prompt safety, access, and data handling — ensuring AI solutions are governed by design.
  • Implement safety and security controls for AI services, including content controls, prompt protection, agent harness, access controls, and data protection measures to reduce security and misuse risk.
  • Design and operate observability capabilities — telemetry, logging, monitoring, tracing, and audit trails — ensuring AI activity is observable, traceable, and auditable.
  • Support cost visibility and usage accountability through reporting, tagging, and tracking mechanisms that promote responsible, cost-aware usage.
  • Partner with platform engineering and relevant stakeholders to embed governance into platform design and delivery, ensuring governance is practical and built-in rather than an after-the-fact activity.

What We're Looking For

  • Degree in Computer Science, Information Security, IT, Engineering, or related field.
  • Relevant experience in cybersecurity, platform governance, technical controls, compliance engineering, or AI governance implementation.
  • Good understanding of AI/model governance, Responsible AI, and the ability to translate policy requirements into practical controls and procedures.
  • Good understanding of logging, monitoring, tracing, and auditability, with the ability to implement traceability and evidence mechanisms.
  • Good understanding of security controls, access management, data protection, and compliance requirements for AI platforms.
  • Strong collaboration and communication skills, with the ability to provide practical guidance that supports governed adoption without unnecessarily slowing delivery.

Account Manager

Jason He Runfeng

EA License No: 16S8107

EA Personnel Registration No: R25157533

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