Secure AI Engineer: Defender of Safe, Scalable AI

Ncs3

Singapore

On-site

SGD 120,000 - 180,000

Full time

5 days ago
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Job summary

Ncs3 is seeking an AI Security Specialist to build, productise, and deploy secure AI-powered products for regulated sectors in Singapore and Asia Pacific. You will translate business challenges into threat-resilient solutions with guardrails and runtime security controls.

Join a team that balances rapid experimentation with strong engineering discipline, focusing on defending workloads while enabling scalable AI delivery.

Qualifications

  • Hands-on engineering in Python, JavaScript/TypeScript, or similar languages.
  • 2+ years in an active cybersecurity environment with live threats.
  • Understanding of modern AI tooling, LLM patterns, and guardrails.
  • Pragmatic problem solving with risk awareness.
  • Ability to navigate ambiguity and make trade-offs between speed and security.
  • Strong collaboration and stakeholder communication skills.
  • Familiarity with AI-specific security risks (prompt injection, data leakage, evasion).
  • Knowledge of AI governance frameworks (NIST AI RMF, IMDA Model AI Governance).

Responsibilities

  • Translate client problems into MVP AI security solutions with guardrails and runtime controls.
  • Develop reusable security patterns and playbooks for regional deployment.
  • Advise clients on AI security investment priorities and threat mitigation strategies.
  • Collaborate with stakeholders to balance security, speed, and maintainability.

Skills

Python
JavaScript/TypeScript
Cybersecurity
AI Tooling
Guardrails
Risk Assessment
Stakeholder Communication
AI Security Risks
AI Governance

Job description

Ncs3 is seeking an AI Security Specialist to build, productise, and deploy secure AI-powered products for regulated sectors in Singapore and Asia Pacific. You will translate business challenges into threat-resilient solutions with guardrails and runtime security controls.

Join a team that balances rapid experimentation with strong engineering discipline, focusing on defending workloads while enabling scalable AI delivery.

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