AI/ML Security Consultant (Risk, Cloud & IAM) – 6 Months Contract (Extendable)

AI/ML Security Consultant (Risk, Cloud & IAM) – 6 Months Contract (Extendable)

Location:

Singapore 

Industry:

Information Technology

Contact Name:

Ahmad Ilyas

Date Published:

16-Jan-2026

AI/ML Security Consultant (Risk, Cloud & IAM) – 6 Months Contract (Extendable)

Location: Central
Contract Duration: 6 months (extendable)
Employment Type: Contract

About the Role
Our client is looking for an AI/ML Security Consultant to assess, design, and strengthen security controls across AI/ML systems and the full AI lifecycle. This role focuses on AI security risk assessments, cloud security architecture, and IAM models for AI agents, working closely with technical and business stakeholders to enable secure and compliant AI adoption.

Must-Have Skillsets
  • AI/ML Security Assessments & Risk Management:  Hands-on experience conducting security assessments across AI/ML pipelines, training/inference environments, and MLOps workflows. Ability to identify risks such as data leakage, model poisoning, adversarial attacks, prompt injection, and AI misuse.
  • Cloud & Infrastructure Security for AI:  Strong experience securing AI workloads across AWS / Azure / GCP, including IAM, encryption, secrets management, container security, network segmentation, and secure data storage.
  • Identity & Access Management (IAM) for AI Agents:  Proven experience designing IAM models for AI agents, including zero-trust authentication/authorization, delegated permissions, ephemeral credentials, JIT access, short-lived tokens, and access governance.

Key Responsibilities

AI/ML Security Assessments & Risk Management
  • Conduct end-to-end security assessments for 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 AI misuse
  • Evaluate threats across the AI lifecycle from data collection to model retirement, and recommend mitigation actions

AI Governance & Security Controls
  • Develop and implement security controls, governance frameworks, and policies for AI lifecycle management
  • Support compliance with frameworks such as GDPR, NIST AI RMF, and responsible AI principles
  • Create strategic roadmaps and executive-level recommendations for secure AI adoption

Cloud & Infrastructure Security for AI
  • Design secure architectures for AI workloads across AWS, Azure, and GCP
  • Implement best practices in IAM, encryption, secrets management, container security, network segmentation, and secure storage
  • Assess and secure APIs, microservices, and application components supporting 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 authentication, authorization, and privilege control
  • Define patterns for scoped access, JIT authorizations, short-lived tokens, and privilege elevation controls
  • Establish access governance processes such as permission reviews, certifications, and monitoring

Client Communication & Advisory
  • Translate technical security risks into business impacts for senior stakeholders
  • Produce assessment reports, threat models, remediation plans, and recommendations
  • Work closely with AI engineers, data scientists, IT security, and compliance teams to deliver secure AI solutions

Requirements
  • 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)
  • Strong communication skills and ability to engage both technical and non-technical audiences

Good-to-Have
  • Certifications such as CCSP, CISSP, 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 AI red teaming
  • Consulting experience or exposure to enterprise security programs


How to Apply: Interested applicants, please click on the “Apply Now” to submit your updated resume.  
 
Please note: Due to the anticipated high volume of applications, only shortlisted candidates will be contacted. All information provided will be treated with strict confidentiality and used solely for recruitment purposes.
 
Ahmad Ilyas bin Azhari
Consultant – IT & Digital
EA Personnel No: R24123184
Peoplebank Singapore Pte Ltd | EA Licence No: 08C5248
Apply Now

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AI/ML Security Consultant (Risk, Cloud & IAM) – 6 Months Contract (Extendable)

Location:

Singapore 

Industry:

Information Technology

Contact Name:

Ahmad Ilyas

Contact Phone:

92394484

Date Published:

16-Jan-2026

AI/ML Security Consultant (Risk, Cloud & IAM) – 6 Months Contract (Extendable)

Location: Central
Contract Duration: 6 months (extendable)
Employment Type: Contract

About the Role
Our client is looking for an AI/ML Security Consultant to assess, design, and strengthen security controls across AI/ML systems and the full AI lifecycle. This role focuses on AI security risk assessments, cloud security architecture, and IAM models for AI agents, working closely with technical and business stakeholders to enable secure and compliant AI adoption.

Must-Have Skillsets
  • AI/ML Security Assessments & Risk Management:  Hands-on experience conducting security assessments across AI/ML pipelines, training/inference environments, and MLOps workflows. Ability to identify risks such as data leakage, model poisoning, adversarial attacks, prompt injection, and AI misuse.
  • Cloud & Infrastructure Security for AI:  Strong experience securing AI workloads across AWS / Azure / GCP, including IAM, encryption, secrets management, container security, network segmentation, and secure data storage.
  • Identity & Access Management (IAM) for AI Agents:  Proven experience designing IAM models for AI agents, including zero-trust authentication/authorization, delegated permissions, ephemeral credentials, JIT access, short-lived tokens, and access governance.

Key Responsibilities

AI/ML Security Assessments & Risk Management
  • Conduct end-to-end security assessments for 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 AI misuse
  • Evaluate threats across the AI lifecycle from data collection to model retirement, and recommend mitigation actions

AI Governance & Security Controls
  • Develop and implement security controls, governance frameworks, and policies for AI lifecycle management
  • Support compliance with frameworks such as GDPR, NIST AI RMF, and responsible AI principles
  • Create strategic roadmaps and executive-level recommendations for secure AI adoption

Cloud & Infrastructure Security for AI
  • Design secure architectures for AI workloads across AWS, Azure, and GCP
  • Implement best practices in IAM, encryption, secrets management, container security, network segmentation, and secure storage
  • Assess and secure APIs, microservices, and application components supporting 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 authentication, authorization, and privilege control
  • Define patterns for scoped access, JIT authorizations, short-lived tokens, and privilege elevation controls
  • Establish access governance processes such as permission reviews, certifications, and monitoring

Client Communication & Advisory
  • Translate technical security risks into business impacts for senior stakeholders
  • Produce assessment reports, threat models, remediation plans, and recommendations
  • Work closely with AI engineers, data scientists, IT security, and compliance teams to deliver secure AI solutions

Requirements
  • 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)
  • Strong communication skills and ability to engage both technical and non-technical audiences

Good-to-Have
  • Certifications such as CCSP, CISSP, 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 AI red teaming
  • Consulting experience or exposure to enterprise security programs


How to Apply: Interested applicants, please click on the “Apply Now” to submit your updated resume.  
 
Please note: Due to the anticipated high volume of applications, only shortlisted candidates will be contacted. All information provided will be treated with strict confidentiality and used solely for recruitment purposes.
 
Ahmad Ilyas bin Azhari
Consultant – IT & Digital
EA Personnel No: R24123184
Peoplebank Singapore Pte Ltd | EA Licence No: 08C5248
Apply Now

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Interested in this job?
Save Job
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