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Data & AI Security Specialist

Security Transformation Manager | Senior Level | Full time
Job No. 13517441 | Singapore
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AI/ML Security Assessments & Risk Management

  • Conduct comprehensive security assessments of AI/ML systems, including data pipelines, model training environments, inference endpoints, and MLOps workflows.
  • Identify complex risks related to data privacy, data leakage, adversarial attacks, model poisoning, prompt injection, and misuse of AI technologies.
  • Evaluate threats across the AI lifecycle—from data collection to model retirement—and define appropriate mitigation actions.

AI Governance & Security Controls

  • Develop and implement security controls, governance frameworks, and policies for end-to-end AI lifecycle management.
  • Support clients in complying with AI regulations, responsible AI principles, and data protection requirements (e.g., GDPR, NIST AI RMF).Create strategic roadmaps and executive-level recommendations for secure AI adoption.

Cloud & Infrastructure Security for AI

  • Design secure cloud architectures for AI workloads across AWS, Azure, and GCP.Implement best practices for IAM, encryption, secrets management, container security, network segmentation, and secure data storage.
  • Assess and secure APIs, microservices, and application components that support AI models and intelligent systems.


Identity & Access Management for AI Agents

  • Design IAM models for AI agents, including agent identities, delegated permissions, ephemeral credentials, and cross-system trust boundaries.
  • Implement zero-trust principles for agent authentication, authorization, and privilege controls.Develop patterns for scoped access, JIT (Just-In-Time) authorizations, short-lived tokens, and decoupled privilege elevation.
  • Integrate IAM systems with AI agent orchestration and establish access governance processes, including permission reviews, certifications, and usage monitoring.

Client Communication & Advisory

  • Translate technical security risks into clear business impacts that executive stakeholders can act on.Prepare assessment reports, recommendations, threat models, and remediation plans for clients.
  • Work cross-functionally with AI engineers, data scientists, IT security, and compliance teams to deliver secure AI solutions.

    Required Skills & Qualifications

    • 3–8+ years of experience in cybersecurity, cloud security, or data security roles.
    • Demonstrated experience securing AI/ML platforms, models, pipelines, or agent-based systems.Strong knowledge of cloud security (AWS, Azure, GCP), IAM, network security, encryption, and API security.
    • Understanding of AI threats such as adversarial ML, data contamination, and model theft.Experience with container platforms (Docker, Kubernetes) and MLOps tools (SageMaker, Vertex AI, Azure ML, MLflow).
    • Excellent analytical and communication skills, with the ability to present findings to technical and non-technical audiences.


    Preferred Qualifications

    • Certifications such as CCSP, CISSP, CCIE, AWS/Azure/GCP Security Specialty, or AI governance credentials.
    • Experience in responsible AI, AI policy, or AI compliance frameworks.
    • Background in security engineering, threat modeling, or red teaming for AI systems.
    • Experience working in consulting organizations or large enterprise security programs.

    Singapore

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