AI Engineer (AISG-SAF APPB)

National University of Singapore

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

National University of Singapore AISG, in partnership with SAIC, seeks an experienced AI Engineer to contribute to the development and operationalisation of an AI governance framework at Kent Ridge Campus. The role focuses on governance strategy, risk assessment, and policy alignment for GenAI deployments within SAF-related contexts.

The candidate will collaborate with cross-functional teams to drive the AI governance program, measure impact, and stay current with evolving AI laws and

Qualifications

  • Degree in public policy, law, governance, computer science, data science, or equivalent.
  • 6+ years of governance, risk, compliance, policy, technology assurance, or similar roles.
  • Demonstrated AI literacy with GenAI patterns and governance of them (RAG, agentic, multimodal).
  • Strong data skills for KPI design, dashboards, and governance metrics.
  • Ability to assess risk in AI-enabled workflows including retrieval, tool-use automation, and human-in-the-loop controls.
  • Strong stakeholder management and writing skills; able to draft playbooks and briefing packs.
  • Singapore citizenship is required.

Responsibilities

  • Contribute to the development of the AI Strategy Roadmap outlining objectives and guidelines for AI tools and models, deployment, and use-case discovery.
  • Contribute to the development and implementation of the AI governance playbook aiding operationalisation of the governance strategy.
  • Work closely with cross-functional teams to influence AI-related risk considerations across the product lifecycle.
  • Provide regular reports and insights on AI governance effectiveness and track these metrics.
  • Conduct strategic foresight and research to develop future scenarios and identify opportunities to optimise AI governance policies.
  • Provide updates on evolving AI-related legal and regulatory requirements.
  • Manage and influence internal senior and external stakeholders.

Skills

AI literacy
KPI design
Stakeholder management
Policy & governance

Education

Degree in public policy, law, governance, computer science, data science, or equivalent

Job description

Office of the Deputy President(Res&Tech)

Faculty/Department-Level Unit:

Employee Category:

Executive & Administrative

Location:

Kent Ridge Campus

Posted On:

17/09/2026

Job Description

AISG is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF).
AISG brings together Singapore-based research institutions and the broader ecosystem of AI start-ups and companies to support impactful research, develop talent and power Singapore's AI efforts.
For more information on AI Singapore, please visit https://www.aisingapore.org .

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI Engineer to contribute to the development and operationalisation of an AI Governance Framework.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:
• Contribute to the development of the AI Strategy Roadmap which outlines the objectives and guidelines for AI tools and models, deployment, and use-case discovery, and usage of AI.
• Contribute to the development and implementation of the AI governance playbook that aids in operationalisation of the AI governance strategy, providing a structured approach to navigating AI governance challenges and opportunities.
• Work closely with cross-functional teams to influence considerations of AI-related risks from throughout the entire product development lifecycle.
• Provide regular reports and insights on AI governance effectiveness and continually track and evaluate these metrics.
• Conduct strategic foresight and research to develop future scenarios and identify opportunities to optimise AI governance policies.
• Provide updates on the evolving AI-related legal and regulatory requirements.
• Manage, collaborate with, and influence internal senior, cross-functional and external industry, and regulatory stakeholders.

Qualifications

• Degree in public policy, law, governance, computer science, data science, or equivalent.
• 6+ years of experience in governance, risk, compliance, policy, technology assurance, or related roles.
• Demonstrated AI literacy: able to work credibly with technical teams and understand modern GenAI patterns to govern them (e.g., RAG, agentic workflows, and multimodal AI). (Multimodal adoption and system capability expansion are widely tracked in 2025–2026 industry coverage.
• Strong quantitative skills for data-driven KPI design, dashboarding, and governance metrics that measure accountability and impact.
• Practical capability to evaluate risk in AI-enabled workflows, including retrieval, tool-use automation, and human-in-the-loop controls (often operationalised through LLMOps practices in enterprise settings).
• Strong stakeholder management and writing skills; able to draft playbooks, decision matrices, and briefing packs.
• Singapore citizenship is required for this position due to project-specific security requirements.

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

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