AI Security Specialist

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

Job summary

NCS Group is seeking an AI Security Specialist to build and deploy secure AI-powered products, MVPs, and guardrails for regulated sectors across Singapore and Asia Pacific.

The role blends product instincts, engineering depth, and cybersecurity expertise to deliver threat-resilient AI solutions.

Qualifications

• Strong hands-on engineering ability in Python, JavaScript/TypeScript, or similar languages.
• Frontline Cyber Experience: 2+ years in an active cybersecurity environment exposed to live threats.
• Applied AI & Tooling Knowledge: Understanding of modern AI tooling, LLM patterns, orchestration, and how to implement effective guardrails.
• Pragmatic Problem Solving: Instincts for solusiing security with risk awareness.
• Delivery Judgment: Navigate ambiguity and balance speed, security, scalability, and maintainability.

Responsibilities

• Translate client problem statements and security requirements into prototypes, MVPs, and deployable AI solutions.
• Build, test, and ship AI-enabled solutions with defensive guardrails and runtime security controls.
• Anticipate vulnerabilities in generative AI and automated systems in live environments.
• Advise client technology and business leaders on AI security investment priorities, architecture decisions, and threat mitigation strategies.
• Document secure implementation patterns and scale across regional deployment.

Skills

Python

JavaScript/TypeScript

Cybersecurity

AI tooling

Threat modeling

Delivery judgment

Tools

CI/CD pipelines

Cloud platforms

APIs

Analytics tools

Observability

Job description

Company Description

NCS Group, wholly owned subsidiary of Singtel Group, is a leading technology services firm with revenue of S$3bn that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 14,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the Pan-Asia region.

Job Description

As an AI Security Specialist in AI Central, you will build, productise, and deploy secure AI-powered products, MVPs, and guardrail mechanisms for regulated sectors. Working in live client contexts, you will turn business challenges and security requirements into threat-resilient solutions that can be tested, adopted, and scaled across Singapore and Asia Pacific.

KEY RESPONSIBILITIES

AI Product & Security Engineering

Translate client problem statements and security requirements into working prototypes, MVPs, and deployable AI solutions. Build, test, and ship AI-enabled solutions with defensive guardrails and runtime security controls using software engineering, model orchestration, and modern cybersecurity tech. Apply modern AI tooling while engineering safeguards against vulnerabilities such as prompt injection, data leakage, and evasion. Drive fast experiments to validate feasibility, business value, and defensive robustness.

Threat Defense & "Defending the House"

Bring seasoned practitioner's instincts to anticipating vulnerabilities in generative AI and automated systems. Draw on hands-on experience handling live environments to solve real-world cybersecurity problems pragmatically. Balance rapid experimentation with strong engineering discipline, building usable security that protects workloads without bottlenecking delivery.

Client Advisory & Stakeholder Engagement

Work directly with client teams to shape secure AI-enabled products. Assist with secure cyber-organisation practices, embedding security by design. Demonstrate appreciation of risk, helping stakeholders navigate decisions and prioritize security outcomes. Advise client technology and business leaders on AI security investment priorities, architecture decisions, and threat mitigation strategies.

Reusable Assets & Scaling

Build and maintain reusable security patterns, playbooks, and guardrail configurations. Document secure implementation patterns for regional deployment. Support technical onboarding and capability development of engineers, sharing emerging AI security practices across AI Central.

Qualifications

THE IDEAL CANDIDATE SHOULD:

Be energised by ambiguity and create clarity through action. You combine product instinct, engineering depth, cybersecurity expertise, and strong judgement. You work well with senior stakeholders and challenge assumptions constructively. You use AI fluently as a practical multiplier across design, code, research, and delivery. You care about shipping real, secure solutions that solve meaningful problems. You move quickly, but you also know where quality, trust, security, and maintainability matter most. You have instincts for "defending the house" paired with appreciation of risk.

• Strong hands-on engineering ability in Python, JavaScript/TypeScript, or similar languages
• Frontline Cyber Experience: 2+ years in an active cybersecurity environment exposed to live threats
• Applied AI & Tooling Knowledge: Understanding of modern AI tooling, LLM patterns, orchestration, and how to implement effective guardrails
• Pragmatic Problem Solving: Instincts for "defending the house" with appreciation of risk
• Delivery Judgment: Ability to navigate ambiguity and make sound trade-offs across speed, security, scalability, and maintainability
• Collaborative Communication: Confidence to discuss security priorities with stakeholders
• Understanding of AI-specific security risks including prompt injection, data leakage, evasion, model poisoning, and adversarial attacks
• Familiarity with AI governance frameworks such as NIST AI RMF, IMDA Model AI Governance, and AI Verify

Good to have

• Experience deploying AI solutions in enterprise or regulated environments (aviation, transport, public safety, telecommunications, government).
• Familiarity with cloud platforms, APIs, CI/CD, analytics, and observability.
• Practical exposure to red-teaming models, prompt defense, or ML-based detection tools.
• Experience in consulting, venture building, or fast-paced innovation teams.