Senior Data Services & AI Engineer

Nanyang Technological University; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Nanyang Technological University (NTU) seeks a Senior Data Services & AI Engineer to join its Data Services team. You will design, build, and support data pipelines, analytics platforms, and GenAI solutions that enable data‑driven decision making across NTU.

The role emphasizes hands‑on development, operational reliability, and real‑world data work under guidance from senior technical leaders. You'll work with data analysts, data scientists, engineers, and business users to clarify requirements,

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline.
• At least 5 years of relevant experience in data engineering, data platforms, analytics, AI/ML, or Generative AI solution delivery.
• Experience building, deploying, or supporting production data or AI solutions.
• Experience working in project teams under senior technical guidance.
• Hands-on experience in data and AI engineering (AI-assisted development, RAG, prompt engineering, data pipelines, data integration, and data modelling).
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
• Understanding of data governance, security, and privacy principles.
• Ability to troubleshoot technical issues and support production systems.

Responsibilities

• Design, build, configure and maintain data pipelines, data platforms, and AI components.
• Implement analytics and GenAI solutions following patterns, security, and governance requirements.
• Contribute to project delivery across design, build, testing, deployment, and operational handover phases.
• Support production systems, including monitoring, troubleshooting, and incident resolution.
• Apply data governance, security, and privacy controls as defined in solution designs and policies.
• Work closely with data analysts, data scientists, engineers, and business users to clarify requirements and deliver solutions.
• Continuously develop technical skills and contribute improvement ideas to enhance platforms and processes.

Skills

Data engineering

GenAI delivery

RAG usage

Prompt engineering

Data pipelines

Data modelling

Cloud platforms

Security governance

Troubleshooting

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related discipline

Tools

Denodo

Snowflake

AWS

Azure

Google Cloud

Job description

About NTU

Nanyang Technological University (NTU) is a leading global university known for excellence in education, research, and innovation. NTU leverages technology, data, and analytics to enhance learning, research impact, and operational excellence across the University.

About the Role

We are seeking a Senior Data Services & AI Engineer to join our Data Services team at NTU. This role is suited for an engineer who enjoys hands‑on development, working on real‑world data and Generative AI (GenAI) platforms, and learning under the guidance of senior technical leaders. You will contribute to the design, build, and support of data pipelines, analytics platforms, and AI solutions that enable data‑driven decision‑making and innovation across NTU. The role focuses on solution delivery and operational reliability, with opportunities to deepen your technical skills in data, cloud, and AI technologies.

Key Responsibilities

• Design, build, configure and maintain data pipelines, data platforms, and AI components based on approved architectures and standards.
• Implement analytics and Generative AI solutions following established patterns, security, and governance requirements.
• Contribute to project delivery across design, build, testing, deployment, and operational handover phases.
• Support production systems, including monitoring, troubleshooting, and incident resolution.
• Apply data governance, security, and privacy controls as defined in solution designs and policies.
• Work closely with data analysts, data scientists, engineers, and business users to clarify requirements and deliver solutions.
• Continuously develop technical skills and contribute improvement ideas to enhance platforms and processes.

What We’re Looking For

Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline.

Experience

• At least 5 years of relevant experience in data engineering, data platforms, analytics, AI/ML, or Generative AI solution delivery.
• Experience building, deploying, or supporting production data or AI solutions.
• Experience working in project teams under senior technical guidance.

Technical Skills

• Hands‑on experience in data and AI engineering (e.g., AI‑assisted development, Retrieval‑Augmented Generation (RAG), prompt engineering, data pipelines, data integration, and data modelling using tools such as Denodo and Snowflake).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Working understanding of data governance, security, and privacy principles.
• Ability to troubleshoot technical issues and support production systems.

Key Personal Attributes

• Strong execution mindset and eagerness to learn, with attention to quality and standards.
• Collaborative and accountable, able to communicate clearly and take ownership of assigned responsibilities.

Why Join NTU

At NTU, you will work on meaningful, high‑impact initiatives in a collaborative environment that values learning, innovation, and professional growth. This role offers the opportunity to shape enterprise‑level data and AI capabilities in a leading global university.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world‑class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark‑certified (equivalent to LEED‑certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech‑enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

More Information

For more information, visit www.ntu.edu.sg