AI Security & Automation Lead | Up to $8K - 0310
Summary
Lead the company's AI strategy by building internal AI-assisted security workflows (recon, SOC triage, report generation) and launching new client-facing AI security services including AI governance assessments and AI red-teaming of LLM systems.
AI Security & Automation Lead
- 5 days, Mon - Fri 8.30am to 5.30pm
- Salary: $6,000 to $8,000
- Location: Kaki Bukit
- 3–6 years 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.
Interested applicants can also send your resume to (Liwenpoh741#gmail.com) and allow our consultant to match you with our clients. No Charges will be incurred by Candidates for any service rendered.
WA ME 97•••019 for more AI Security & Automation Lead role
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 draft report 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.
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