Senior AI Engineer (AISG-SAF AI Centre)

About the role

AI Singapore (AISG), a national initiative of MDDI, IMDA and NRF, partners with the SAF AI Centre (SAIC) to seek an experienced AI engineer. The role develops and deploys AI solutions while strengthening the SAF workforce's AI engineering capabilities through technical mentorship, training and professional development. SAIC is a unit of the Digital and Intelligence Service focused on operational data science and AI solutions.

Key responsibilities

• Develop AI solutions from problem scoping and data preparation through model evaluation, integration and deployment.
• Build and enhance machine learning pipelines, LLM applications, RAG systems and agent workflows.
• Apply engineering practices such as automated testing, CI/CD, model monitoring, documentation and version control.
• 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 job-skills-proficiency mappings, competency assessments and professional and ethical standards.
• Guide engineers in building project portfolios and preparing for AI engineer certification.
• Contribute to AI solution deployment targets and knowledge transfer to project teams.

Required profile

• Bachelor's degree in Computer Science, Engineering, Data Science or a related discipline, or equivalent practical experience.
• Minimum 3 years of experience in software engineering, machine learning engineering or applied AI, including production deployment.
• Singapore citizenship is required due to project-specific security requirements.

Required skills

• Proficiency in Python; familiarity with PyTorch, TensorFlow or scikit-learn.
• Good understanding of machine learning fundamentals, data pipelines and model evaluation.
• Familiarity with Git, Docker, CI/CD pipelines and API integration is advantageous.
• Strong communication skills and interest in mentoring and training.