Senior Data Services & AI Engineer

Nanyang Technological University, Singapore (NTU Singapore); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NTU Singapore seeks a Senior Data Services & AI Engineer to join the Data Services team. The role focuses on hands-on development of data pipelines, analytics platforms, and GenAI solutions to enable data-driven decision making across NTU.

You will design, build, deploy, and support data and AI solutions, while ensuring security, governance, and operational reliability across production systems and platforms.

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 GenAI solution delivery.
• Experience building, deploying, or supporting production data or AI solutions.

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.

Skills

RAG & AI engineering

Data pipelines

Cloud platforms

Data governance & security

Troubleshooting

Education

Bachelor's degree in CS/DS/Engineering

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