AI Security Engineer

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD. is seeking an AI Security Engineer to shape and execute the organisation's AI security vision in Singapore.

You will safeguard systems against modern AI threats such as deepfake driven phishing and synthetic identity attacks, while securing internal AI applications, agents, and copilots. As the principal technical authority for secure AI adoption, you will collaborate with cross-functional technology, risk, and audit teams to define governance,

Qualifications

• Strong software engineering foundation with hands-on coding experience.
• Deep understanding of application security fundamentals and OWASP standards.
• Practical experience securing production software, GenAI tools, or ML pipelines.

Responsibilities

• Define and drive the overall AI security roadmap and architecture.
• Build defensive controls for AI agents, prompt injection mitigation, and sandboxing.
• Integrate AI security detection into existing monitoring and incident response workflows.
• Oversee AI red teaming, adversarial testing, and vulnerability remediation.
• Monitor production AI implementations and coordinate with SOC and operations teams.

Skills

Software engineering

Application security

GenAI security

Job description

We are seeking an AI Security Engineer to shape and execute our organisation's AI security vision. You will safeguard our systems against modern AI threats, such as deepfake driven phishing or synthetic identity attacks, while securing our internal AI applications, agents, and copilots.

Working closely with cross functional technology, risk, and audit teams, you will act as the principal technical authority for secure AI adoption.

Key Responsibilities

• Strategy & Architecture

  • Define and drive the overall AI security roadmap.

  • Design secure by design patterns for GenAI models, agentic workflows, and machine learning pipelines.

  • Establish governance frameworks aligned with standards such as NIST AI RMF, ISO 42001, and MITRE ATLAS.

  • Provide technical guidance to senior leadership on emerging AI risks.

• Engineering & Implementation

  • Build defensive controls for AI agents, including prompt injection mitigation, output sanitisation, and tool sandboxing.

  • Integrate AI specific detection mechanisms into our existing security monitoring pipelines.

  • Develop incident response playbooks tailored to model abuse, data exfiltration, and agent escape scenarios.

  • Oversee adversarial testing, AI red teaming, and vulnerability remediation.

• Operations & Oversight

  • Monitor production AI implementations to ensure continuous control effectiveness.

  • Collaborate with SOC and operations teams to respond to AI related security incidents.

  • Manage external security vendors, assessment partners, and specialist tools.

Requirements & Qualifications

• Core Skills & Technical Background

  • Strong software engineering foundation with hands on coding capabilities.

  • Deep understanding of application security fundamentals, secure coding practices, and OWASP standards, including the OWASP Top 10 and OWASP LLM Top 10.

  • Practical experience securing production software, GenAI tools, or ML pipelines.

• Experience & Certifications

  • Around 5 to 8 years of experience in software engineering, application security, or cybersecurity operations.

  • Relevant industry certifications, such as CISSP, CISM, or specialised cloud and security credentials, are advantageous.