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"AI Engineer for AI Singapore (AI Talent Development)"

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AI Engineer for AI Singapore (AI Talent Development)

Staff

2026-05-01

Location

Kent Ridge Campus

National University of Singapore (NUS)

Type

Staff / Administration

Required Qualifications

Degree in Computer Science, Engineering, Data Science or equivalent
Minimum 1 year in Software/ML Engineering or Applied AI
Experience deploying models to production

Research Areas

Artificial Intelligence
Machine Learning Pipelines
AI Deployment
71% Job Post Completeness

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AI Engineer for AI Singapore (AI Talent Development)

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

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.

This role requires security clearance.

Duties & Responsibilities

In this role, you will:

  • Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
  • Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
  • Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness.
  • Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
  • Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

  • Degree in computer science, engineering, data science, or equivalent practical experience.
  • Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

More Information

Location: Kent Ridge Campus

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

Department: AI Singapore

Employee Referral Eligible: No

Job requisition ID: 31655

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Frequently Asked Questions

🎓What are the key qualifications for the AI Engineer role at AI Singapore?

Candidates need a degree in computer science, engineering, data science, or equivalent practical experience, plus a minimum 1 year in software engineering, ML engineering, or applied AI with model deployment to production. Security clearance is required. Explore similar administration jobs or research jobs at NUS.

💼What are the main duties and responsibilities?

You will develop and deliver AI courses for SAF workforce, provide technical mentorship, identify real-world AI projects for skills building, assist in job-skills-proficiency (JSP) map, and execute AI engineer certification programmes. Focus on mentorship for SAIC teams. Check career advice for higher ed roles.

🔒Is security clearance required for this position?

Yes, this role partnering with SAF AI Centre (SAIC) explicitly requires security clearance. It supports operational AI solutions for Singapore Armed Forces (SAF). Review higher ed admin jobs for clearance details in defence-related positions.

📝How do I apply for the AI Engineer job at NUS?

Apply via NUS job portal using Job requisition ID: 31655. Location is Kent Ridge Campus. Deadline is May 1, 2026. Employee referral not eligible. Prepare your CV with free resume template and tailor to AI deployment experience.

📍What organization and location details?

Hosted by National University of Singapore (NUS), under Office of the Deputy President (Res&Tech), Department: AI Singapore. Location: Kent Ridge Campus. Part of national AI programme with SAIC partnership. View more university jobs in Singapore.

⏱️What experience is needed for AI certification readiness?

Minimum 1 year in ML pipelines, software engineering depth, and production AI models. Role identifies projects for certification readiness and builds skills via sprints. See research role advice for skill-building tips.
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