AI Engineer (AISG-SAF APPB)
AI Engineer (AISG-SAF APPB)
National University Of Singapore- Posted 4 hours ago
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Job Description
Job Title: AI Engineer (AISG-SAF APPB)
University-Level Unit: Office of the Deputy President(Res&Tech)
Faculty/Department-Level Unit: AI Singapore
Employee Category: Executive & Administrative
Posting Start Date: 17/09/2026
Location_ONB: Kent Ridge Campus
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:
Location: Kent Ridge Campus
Organization: Office of the Deputy President(Res&Tech)
Department : AI Singapore
Employee Referral Eligible: No
Job requisition ID : 31797
University-Level Unit: Office of the Deputy President(Res&Tech)
Faculty/Department-Level Unit: AI Singapore
Employee Category: Executive & Administrative
Posting Start Date: 17/09/2026
Location_ONB: Kent Ridge Campus
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.
- 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.
Location: Kent Ridge Campus
Organization: Office of the Deputy President(Res&Tech)
Department : AI Singapore
Employee Referral Eligible: No
Job requisition ID : 31797
More Info
Key Skills
LLMOps practices
GenAI patterns
AI Strategy Roadmap
RAG agentic workflows
AI Governance Framework
AI-related legal and regulatory requirements
multimodal AI
data-driven KPI design
AI governance playbook
