AI Trust & Governance Engineer Intern

Frost & Sullivan; Singapore; On-site; SGD 20,000 - 27,000; Part time

Job summary

Frost & Sullivan is inviting postgraduate students, graduates, and early-career professionals to join our global teams across AI, data, and advisory functions. Intern roles support MetaBrain with applied AI, quantitative models, and trustworthy engineering to turn research into reusable services.

Engineers will work across engineering and data science teams to test controls that ensure trustworthy AI. Stipend is paid for six months, with possible extension based on performance and academic

Qualifications

• Master's or PhD in AI, computer science, data science, cybersecurity or related field with substantive AI training.
• Practical Python, software testing and basic understanding of authentication and data handling.
• An example of a project or research in trustworthy AI, model evaluation, privacy, security, fairness, robustness or explainability.

Responsibilities

• Map risks and evidence: document use-case harms, datasets, model versions, limitations and approvals with mentors.
• Implement trust controls: develop tests for role-based access, tenant separation, audit logs and data masking.
• Test unsafe and unreliable behaviour: assess bias, faulty citations, and unauthorized tool actions in controlled contexts.
• Support release and operations: automate assurance checks, document findings and track remediation.

Skills

Python programming

Software testing

Authentication

Authorization

Data handling

AI fundamentals

Education

Master's/PhD in AI/CS/Data Science/CCybersecurity or related field

Tools

Policy-as-code

Data lineage

Job description

Frost & Sullivan is inviting postgraduate students, graduates, and early-career professionals to join our global teams across AI, data, and advisory functions. Intern roles support MetaBrain with applied AI, quantitative models, and trustworthy engineering to turn research into reusable services.

Engineers will work across engineering and data science teams to test controls that ensure trustworthy AI. Stipend is paid for six months, with possible extension based on performance and academic