AI Security & Automation Lead - LCYL

THE SUPREME HR ADVISORY PTE. LTD.; Singapore; On-site; SGD 67,000 - 89,000; Full time

Job summary

THE SUPREME HR ADVISORY PTE. LTD. is seeking an AI Security & Automation Lead in Singapore.

You will own the company's AI strategy, applying AI/ML to security workflows and building new client offerings. You will develop internal tooling for security operations, lead governance & risk assessments, and run red-teaming for client AI deployments, while training delivery teams. This role requires hands-on automation, knowledge of ISO/IEC 42001 or NIST RMF, and the ability to translate advances into

Qualifications

• 3–6 years in cybersecurity (pentesting, security engineering, or SOC) with hands-on AI/ML experience.
• Familiarity with at least one AI governance framework (ISO/IEC 42001, NIST AI RMF, or EU AI Act).
• Practical experience with LLM application security concepts (prompt injection, jailbreaks, data leakage).
• Comfortable building and shipping automation/scripts/tooling, not just using off-the-shelf products.

Responsibilities

• Design and deploy AI-assisted workflows for security operations with human validation built into every step.
• Build and deliver AI governance & risk assessments against ISO/IEC 42001, the NIST AI RMF, and EU AI Act requirements.
• Design and run adversarial testing of client deployed LLM systems and AI agents – prompt injection, data leakage, jailbreak resistance.
• Act as internal champion and trainer for AI adoption across the delivery team with hands-on enablement.
• Stay current on AI security threats and regulatory landscape and translate into practical firm capabilities.
• Partner with Head of Security Operations to ensure automation reduces delivery time and error rate.

Skills

Cybersecurity background

AI/ML in security workflows

AI governance frameworks

LLM security concepts

Automation scripting

Job description

AI Security & Automation Lead

5 days, Mon - Fri 8.30am to 5.30pm

Salary: $6,000 to $8,000

Location:2 Kaki Bukit Ave 1, Singapore 417938

Role Overview:

This is a new and important role where you will be responsible for the company’s overall AI strategy. You’ll work in two main areas: first, using AI and automation to help the internal delivery team work faster and more efficiently; and second, creating new AI security services for clients, such as AI governance assessments and AI red-teaming. These services are not currently offered by the company. You’ll be the dedicated AI expert in the organisation, rather than someone who is expected to handle AI work on top of their existing responsibilities.

Job scopes:

• Internal tooling:Design and deploy AI-assisted workflows for reconnaissance, vulnerability prioritization, SOC alert triage/correlation, and draftreport generation, with human validation built into every step.
• New service line — AI Governance & Risk Assessment:Build and deliver assessments against ISO/IEC 42001, the NIST AI Risk Management Framework, and EU AI Act risk-classification requirements for clients deploying AI systems.
• New service line — AI Red-Teaming:Design and run adversarial testing of client deployed LLM systems and AI agents — prompt injection, data leakage, jailbreak resistance, and agentic-workflow abuse cases.
• Act as the internal champion and trainer for AI adoption across the delivery team — running hands-on enablement, not just issuing directives.
• Stay current on the fast-moving AI security threat and regulatory landscape and translate it into practical firm capability and client-facing offers.
• Partner with the Head of Security Operations & Delivery to ensure automation actually reduces delivery time and error rate, not just adds tooling overhead.

Requirements:

• 3–6years in cybersecurity (pentesting, security engineering, or SOC), with substantial hands-on experience applying AI/ML or LLM tooling to security workflows.
• Working understanding of at least one AI governance framework (ISO/IEC 42001, NIST AI RMF, or EU AI Act) — or demonstrated ability to get there fast.
• Practical experience with LLM application security concepts (prompt injection, jailbreaks, RAG/data-leakage risks, agent security).
• Comfortable building and shipping automation/scripts/tooling, not just using off-the shelf products.