Job Title: AI Engineer (AISG-SAF AI Center)

University-Level Unit: Office of the Deputy President(Res&Tech)

Faculty/Department-Level Unit: AI Singapore

Employee Category: Executive & Administrative

Posting Start Date: 10/06/2026

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 develop and deploy AI solutions while strengthening the SAF workforce's AI engineering capabilities through technical mentorship, training and professional development.

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:

Develop AI solutions from problem scoping and data preparation through model evaluation, integration and deployment.
Build and enhance machine learning pipelines, LLM applications, retrieval-augmented generation (RAG) systems and agent workflows.
Apply sound engineering practices, including automated testing, CI/CD, model monitoring, documentation and version control.
Provide technical consultancy and mentor engineers through pair programming, code reviews and architecture discussions.
Develop training materials, refresh onboarding curricula and contribute to quarterly AI workshops and knowledge-sharing sessions.
Support the development of job-skills-proficiency mappings, competency assessments and professional and ethical standards.
Guide engineers in developing practical project portfolios and preparing for AI engineer certification.
Contribute to the partnership's AI solution deployment targets and effective knowledge transfer to project teams.

Qualifications

Bachelor's Degree in Computer Science, Engineering, Data Science or a related discipline, or equivalent practical experience.
Minimum 1 year of relevant experience in software engineering, Machine Learning engineering or applied AI experience, including production deployment.
Proficiency in Python programming and familiarity with ML frameworks such as PyTorch, TensorFlow or scikit-learn.
Good understanding of machine learning fundamentals, data pipelines and model evaluation.
Familiarity with software development tools and practices, including Git, Docker, CI/CD pipelines, and API integration, would be advantageous.
Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Interest in knowledge sharing, mentoring, and facilitating technical learning or training activities.
Singapore citizenship is required for this position due to project-specific security requirements.