AI Security Consultant

ALLEGIS GROUP SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Allegis Group Singapore Private Limited is seeking an experienced AI Security Consultant to join a greenfield initiative focused on building and deploying enterprise-scale AI security capabilities. Design and implement AI guardrails that provide centralized, auditable protection for AI-enabled applications across the organization.

The role requires 5+ years in Cyber/Cloud Security and 1+ year in AI Security, with hands-on work securing LLMs, conducting risk assessments, and enabling secure

Qualifications

• 5+ years' experience in Cyber Security, Application Security, Cloud Security, Platform Security, or Secure Software Engineering.
• 1+ years' hands-on experience in AI Security, GenAI Security, AI/ML Security, or AI Application Security.
• Experience securing LLMs (GPT, Claude, Gemini, Llama, etc.) and understanding AI-specific threats.

Responsibilities

• Design and implement AI security guardrails for enterprise AI and Generative AI applications.
• Assess and mitigate AI-specific security risks, including prompt injection and data leakage.
• Conduct AI security assessments, threat modelling exercises, architecture reviews, and secure design reviews.
• Support deployment and security of AI platforms leveraging cloud technologies, Kubernetes, and containerized environments.
• Collaborate with engineering to establish AI governance frameworks, security standards, and operational processes.
• Evaluate and secure LLMs and AI-powered applications across the development lifecycle.
• Integrate security controls into DevSecOps pipelines and cloud-native deployments.
• Produce architecture documentation, security assessments, and process documentation.
• Partner with stakeholders to drive secure AI adoption.

Skills

Cyber Security

Application Security

Cloud Security

Platform Security

Secure Software Engineering

AI Security

Threat Modelling

DevSecOps

Python

CI/CD

Docker

Kubernetes

Tools

AWS Bedrock

SageMaker

Azure AI Foundry

Vertex AI

Job description

About the Role

We're seeking an experienced AI Security Consultant to join a greenfield initiative focused on building and deploying enterprise-scale AI security capabilities. This role will play a key part in designing and implementing AI Guardrails that provide centralized, consistent, and auditable protection for AI-enabled applications across the organization.

Key Responsibilities

• Design and implement AI security guardrails for enterprise AI and Generative AI applications.
• Assess and mitigate AI-specific security risks, including prompt injection, data leakage, model poisoning, model theft, supply chain vulnerabilities, and agentic AI threats.
• Conduct AI security assessments, threat modelling exercises, architecture reviews, and secure design reviews.
• Support the deployment and security of AI platforms leveraging cloud technologies, Kubernetes, and containerized environments.
• Collaborate with engineering and platform teams to establish AI governance frameworks, security standards, and operational processes.
• Evaluate and secure Large Language Models (LLMs) and AI-powered applications across the development lifecycle.
• Integrate security controls into DevSecOps pipelines and cloud-native deployments.
• Produce architecture documentation, security assessments, technical designs, and process documentation.
• Partner with stakeholders across security, engineering, architecture, and business teams to drive secure AI adoption.

Required Experience & Qualifications

• 5+ years' experience in Cyber Security, Application Security, Cloud Security, Platform Security, or Secure Software Engineering.
• 1+ years' hands-on experience in AI Security, GenAI Security, AI/ML Security, or AI Application Security.
• Experience securing LLMs (GPT, Claude, Gemini, Llama, etc.) and understanding AI-specific threats such as prompt injection, data leakage, model poisoning, and model theft.
• Hands-on experience with AI Guardrails, AI Red Teaming, Threat Modelling, AI Risk Assessments, and Security Reviews.
• Experience with Agentic AI solutions and Model Context Protocol (MCP) ecosystems.
• Exposure to AWS Bedrock, SageMaker, Azure AI Foundry/Azure ML, or Google Vertex AI.
• Strong Python skills, with experience in languages such as Java, Go, C#, or C++.
• Experience with APIs, DevSecOps, CI/CD, Infrastructure as Code, Docker, and Kubernetes.
• Strong stakeholder management, communication, and documentation skills.

We regret to inform that only shortlisted candidates will be notified.