Lead Cyber Security Engineer

Job description

About YTL AI Labs

At YTL AI Labs, we build sovereign AI models that perform on par with the world’s best—while staying grounded in local needs, values, and context. Our flagship model, Ilmu, is designed to be culturally aware, contextually intelligent, and fluent in Bahasa Melayu, delivering cutting-edge solutions that empower Malaysian businesses with intelligence that truly understands the mark...et and the people they serve.

As pioneers of sovereign AI, we believe every nation should have the power to shape its own intelligence guided by its people, priorities, and principles.

Role Overview

We are seeking a

Lead AI Security Engineer

to establish and lead the security architecture for our AI systems, platforms, and models.

This role sits at the intersection of

AI systems, cybersecurity, and safety engineering

.

You will be responsible for designing and implementing the security foundations that protect our models, infrastructure, and users from emerging threats in the AI landscape.

You will work closely with

AI researchers, platform engineers, product teams, and trust & safety stakeholders

to embed security directly into the AI development lifecycle.

This role requires both

technical depth and strategic leadership

.

You will define security standards for our AI platform, lead offensive and defensive security initiatives, and build monitoring and response capabilities necessary to operate AI safely at scale.

Key Responsibilities

1. AI Security Architecture & Governance

• Define and implement the security architecture for LLM and generative AI systems across model training, inference, and deployment.

• Develop and enforce security policies, frameworks, and standards aligned with industry best practices (NIST, ISO, OWASP).

• Design and review security controls for model training pipelines, data ingestion, inference systems, APIs, and cloud infrastructure.

• Establish secure AI development lifecycle practices across engineering teams.

2. AI Threat Detection & Abuse Monitoring

• Build monitoring systems to detect prompt injection, jailbreak attempts, adversarial inputs, and model misuse.

• Implement mechanisms to detect data leakage and unsafe model outputs.

• Develop automated enforcement systems and dashboards for safety monitoring.

• Work with product and trust teams to ensure real-time detection and mitigation of AI misuse.

3. Offensive & Defensive AI Security

• Lead offensive security testing against AI systems including adversarial prompt testing and model exploitation scenarios.

• Conduct simulations of threats such as model extraction, data poisoning, and prompt injection.

• Partner with model and platform teams to strengthen system defenses and reduce attack surfaces.

• Develop mitigation strategies across models, APIs, and infrastructure.

4. AI-Powered Security Operations

• Develop AI-driven systems for security monitoring and incident response.

• Build capabilities for threat intelligence collection and analysis.

• Implement anomaly detection across model usage and system telemetry.

• Develop automated evidence collection and digital forensics capabilities.

• Work with infrastructure and SRE teams to support scalable security operations.

5. AI Security Research & Red Teaming

• Research emerging threats in adversarial machine learning, prompt injection, and model exploitation.

• Lead or participate in internal and external AI red team engagements.

• Identify vulnerabilities and mitigation strategies for LLM and generative AI systems.

• Produce security research insights and threat intelligence reports to guide engineering decisions.

6. Building & Capability Development

• Help build and grow the

AI Security capability

within YTL AI Labs.

• Mentor engineers and foster strong security awareness across product, research, and engineering teams.

• Establish security best practices and internal playbooks for secure AI development.

• Contribute to hiring and developing future AI security talent as the organisation scales.

Key Skills and Qualifications:

Must-Have

• 5+ years of experience

in cybersecurity, AI security, or related security engineering roles.

• Strong foundation in cybersecurity frameworks and best practices (NIST, ISO, OWASP).

• Experience securing AI/ML or LLM systems against adversarial threats, model abuse, and data leakage.

• Hands-on experience with threat detection,

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