RAPSYS TECHNOLOGIES PTE LTD Hiring! Full Time Senior AI - Cloud Security Engineer in - Ricebowl

We're Hiring: Senior AI & Cloud Security Engineer!

We are looking for an experienced Senior AI & Cloud Security Engineer to lead and strengthen our security initiatives across cloud and AI environments. This is a fantastic opportunity to shape robust solutions, protect critical assets, and contribute to innovative projects in a dynamic setting.

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Senior AI & Cloud Security Engineer 

What you will do

Threat-model and security-review LLM applications, RAG architectures, and

• agentic workflows, including risks such as prompt injection, data leakage,
  insecure tool use, and excessive agency
  Design and execute AI security testing and adversarial evaluations, working
  with specialist red-team teams where appropriate
  • Secure AI and data supply chains, including model and artifact provenance,
  dependencies, vector stores, grounding data, and third-party integrations
  • Embed security into CI/CD through policy-as-code, automated security
  testing, container and IaC scanning, and vulnerability management
  • Design and implement cloud security controls across identity, network
  segmentation, secrets and key management, data protection, logging, and
  auditability
  • Build security automation and evaluation tooling using Python or equivalent
  languages, replacing manual checks with repeatable engineering controls
  • Act as a technical SME for AI and cloud security incidents, architecture
  reviews, and engineering remediation, while translating emerging threats into
  practical controls for internal and client teams
  What you bring
  • 7+ years of hands-on experience in security engineering, application security,
  cloud security, DevSecOps, or related roles, with practical experience
  securing AI/ML or Generative AI workloads
  • Strong DevSecOps experience covering CI/CD security, container and
  Kubernetes security, infrastructure-as-code, vulnerability management, and
  software supply-chain security
  • Hands-on understanding of modern AI architectures including model APIs,
  RAG, vector/retrieval systems, orchestration frameworks, and AI agents
  • Strong knowledge of application and API security, IAM/workload identity,
  secrets management, data protection, and cloud-native security controls
  • Deep expertise in at least one major cloud platform such as AWS, Azure, or
  GCP, with the ability to apply equivalent security patterns across cloud
  environments
  
  Sensitivity Label: General
  • Familiarity with AI security and governance frameworks such as OWASP
  guidance for LLM/Generative AI applications, MITRE ATLAS, and NIST AI
  RMF
  • Python or equivalent programming capability for security automation, testing,
  and evaluation tooling
  • Ability to independently own complex security problems from threat modelling
  and architecture through implementation, validation, and remediation
  Nice to have
  • Experience with AI red-teaming or adversarial evaluation of LLM and agentic
  applications
  • Experience securing enterprise RAG, vector databases, model gateways, or
  AI orchestration platforms
  • Experience with policy-as-code, SBOMs, artifact provenance, cloud security
  platforms, or security telemetry
  • Experience working in consulting, regulated industries, or large enterprise
  environments