Senior AI & Cloud Security Architect

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD is seeking a Senior AI & Cloud Security Engineer to lead security across cloud and AI environments. You will model threats, review LLM architectures, and implement robust security controls throughout CI/CD and container pipelines.

Experience with AI/ML workloads, Kubernetes, and cloud platforms is essential. The role involves building automation, working with red teams, and translating emerging threats into practical security measures.

Qualifications

• 7+ years of hands-on security engineering experience in cloud/DevSecOps.
• Experience securing AI/ML workloads and Generative AI environments.
• Strong knowledge of CI/CD security, container security, IaC, and software supply-chain security.
• Familiarity with cloud security controls across identity, network, data protection, and logging.
• Exposure to OWASP guidance for AI/LLM apps, MITRE ATLAS, and NIST AI RMF.

Responsibilities

• Threat-model and security-review LLM apps, RAG architectures, and agentic workflows.
• Design and execute AI security testing and adversarial evaluations.
• Secure AI data supply chains including provenance and dependencies.
• Embed security into CI/CD through policy-as-code and automated testing.
• Design cloud security controls across identity, networking, and data protection.
• Build security automation and tooling using Python or similar languages.
• Serve as SME for AI/cloud security incidents and remediation.

Skills

Threat modelling

LLM security

Adversarial testing

CI/CD security

Container security

IaC security

Python

Security automation

Cloud security

Tools

Kubernetes

Job description

RAPSYS TECHNOLOGIES PTE LTD is seeking a Senior AI & Cloud Security Engineer to lead security across cloud and AI environments. You will model threats, review LLM architectures, and implement robust security controls throughout CI/CD and container pipelines.

Experience with AI/ML workloads, Kubernetes, and cloud platforms is essential. The role involves building automation, working with red teams, and translating emerging threats into practical security measures.