National University of Singapore (NUS) Jobs

National University of Singapore (NUS)

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"Senior Manager (AI Engineering)"

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Senior Manager (AI Engineering)

Senior Manager

2026-05-01

Location

Singapore

National University of Singapore

Type

Full-time Staff

Required Qualifications

Bachelor’s/Master’s in Computer Science/IT
8+ years software development
Led 3+ full SDLC cycles
AI Engineering leadership
Team mentoring & architecture

Research Areas

AI Enablement
Enterprise Applications
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Senior Manager (AI Engineering)

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

NUS IT

Job Description

This hire will serve as a Executive Principal Engineer within the Enterprise Service Team, providing independent technical leadership for the end-to-end delivery of high-quality software projects.

Reporting to the Associate Director (Software Engineering), the successful candidate will take a hands-on lead role in developing and scaling solutions with a strategic focus on AI enablement and enterprise-grade applications.

The role will be responsible for ensuring technical excellence across the entire software development lifecycle, from initial design and coding to deployment and maintenance, while ensuring all engineering outputs remain strictly aligned with NUS strategic goals and organizational best practices.

Duties and Responsibilities

  • Lead and mentor high-performing team of Software Engineers to architect and deliver AI and Enterprise capabilities.
  • Transform business requirements into scalable, production-ready software solutions.
  • Direct the end-to-end architecture, design, and implementation of complex software projects. Ensure that the technical roadmap is robust, future-proof, and aligns with the broader enterprise ecosystem.
  • Champion and enforce industry best practices across the development lifecycle. This includes establishing rigorous standards for clean coding, comprehensive unit/integration testing, and proactive system maintenance to ensure long-term stability.
  • Take ownership of development timelines by effectively prioritizing engineering efforts. You will balance technical debt with feature delivery, ensuring the team remains focused on high-impact milestones.
  • Act as the technical point of contact for project teams, supervisors, and project managers. Provide transparent, data-driven status updates, risk assessments, and mitigation strategies to ensure project transparency.
  • Collaborate closely with functional analysts and Quality Assurance (QA) teams to bridge the gap between business logic and technical execution. Ensure that all solutions meet stringent performance benchmarks and high-quality standards.
  • Partner with the DevOps team to design and integrate automated CI/CD pipelines. You will be responsible for overseeing the inclusion of automated security scans and deployment protocols to ensure a "security-first" development culture.

Qualifications

Qualifications & Leadership

  • Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
  • At least 8 years in software development, with a proven track record of leading teams through a minimum of 3 full SDLC cycles.
  • Demonstrated ability to lead, inspire, and align cross-functional teams toward shared project objecti

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Frequently Asked Questions

🎓What qualifications are required for the Senior Manager (AI Engineering) role at NUS?

Candidates need a Bachelor’s or Master’s degree in Computer Science, IT, or related field, plus at least 8 years in software development with proven leadership through a minimum of 3 full SDLC cycles. Strong ability to lead cross-functional teams is essential. Explore similar executive higher ed jobs for benchmarks.

🚀What are the key responsibilities in this AI Engineering leadership position?

Lead a team of Software Engineers to deliver AI and enterprise capabilities, architect end-to-end solutions, enforce best practices in coding/testing/CI/CD, manage timelines, and collaborate with QA/DevOps. Focus on security-first development aligned with NUS goals. See administration jobs for related roles.

💼What is the work environment and benefits at NUS IT?

Join a dynamic, innovative culture at NUS IT emphasizing collaboration, knowledge sharing, and work-life balance with flexible arrangements. Competitive remuneration, career growth, and diverse workforce committed to transforming NUS globally. Check employer branding in higher ed for insights.

📍Where is the position located and what is the application deadline?

The role is based in Singapore at National University of Singapore. Applications are open until the expiration date of May 1, 2026. Apply via NUS careers portal. View more Singapore university jobs.

📈How does this role support career growth in AI engineering?

As Executive Principal Engineer, you'll provide technical leadership, mentor teams, and drive AI enablement projects with hands-on scaling of enterprise apps. Empowered environment for career ownership. Learn more about executive IT roles in higher ed and career advice.

🔧What technical skills are emphasized for success?

Proficiency in software architecture, AI development, CI/CD pipelines, security scans, and full SDLC management. Champion clean code, testing, and DevOps integration for production-ready solutions.

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