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Company Overview
This organization specializes in cybersecurity and AI risk management, supporting clients in securing AI/ML platforms, data pipelines, and intelligent systems. The company delivers comprehensive security solutions, governance frameworks, and advisory services across cloud, infrastructure, and AI lifecycles, enabling enterprises to adopt AI responsibly and securely.
Job Title: Data & AI Security Specialist – Security Transformation Manager | Senior Level Location: Singapore Employment Type: Full Time Job Code: 13517441
Job Description Responsibilities
• Conduct comprehensive security assessments of AI/ML systems, including data pipelines, model training environments, inference endpoints, and MLOps workflows. Identify complex risks such as data privacy issues, data leakage, adversarial attacks, model poisoning, prompt injection, and AI misuse. Evaluate threats across the AI lifecycle and define mitigation strategies.
• Develop and implement AI governance frameworks, security controls, and policies for the end-to-end AI lifecycle. Support clients in complying with AI regulations, responsible AI principles, and data protection standards (e.g., GDPR, NIST AI RMF). Create strategic roadmaps and executive-level recommendations for secure AI adoption.
• Design secure cloud architectures for AI workloads across AWS, Azure, and GCP. Apply best practices for IAM, encryption, secrets management, container security, network segmentation, and secure data storage. Assess and secure APIs, microservices, and application components supporting AI models.
• Design IAM models for AI agents, including agent identities, delegated permissions, ephemeral credentials, and cross-system trust boundaries. Implement zero-trust principles for authentication, authorization, and privilege controls. Develop patterns for scoped access, JIT authorizations, short-lived tokens, and decoupled privilege elevation. Integrate IAM systems with AI orchestration and establish access governance processes.
• Translate technical security risks into actionable business insights for executive stakeholders. Prepare assessment reports, recommendations, threat models, and remediation plans. Collaborate with AI engineers, data scientists, IT security, and compliance teams to deliver secure AI solutions.
Qualifications
• 3–8+ years of experience in cybersecurity, cloud security, or data security roles, including 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, able to present findings to both 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 in consulting organizations or large enterprise security programs.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
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