Associate Director (AI Platform Engineering)

What You Do

As Engineering Manager (Associate Director), you will lead software engineering teams in developing NUS’s next-generation AI capabilities and shared enterprise services. You will provide strategic and hands-on leadership for the AI-Know Ecosystem and Shared Modules & API Services, ensuring that secure, scalable and reusable solutions support the University’s digital transformation. With end-to-end accountability for engineering excellence, you will align technology, people and delivery with NUS’s strategic priorities.

Lead and Develop Engineering Teams

• Lead, coach and inspire software engineering teams comprising 5 to 10 direct reports.
• Foster a culture of innovation, ownership, collaboration and technical excellence.
• Mentor engineers, strengthen their capabilities and help resolve complex technical challenges.

Shape the AI and Engineering Roadmap

• Own and drive the engineering roadmap for the AI-Know Ecosystem and Shared Modules & API Services.
• Evolve AI-Know beyond RAG-based chat into a comprehensive AI platform with reusable capabilities.
• Partner with architecture teams to ensure the technical roadmap is scalable, future-ready and aligned with the wider enterprise ecosystem.

Drive Solution Delivery and Engineering Quality

• Direct the end-to-end architecture, design and implementation of complex software and AI solutions.
• Manage delivery priorities, timelines and resources across concurrent workstreams, balancing feature development with technical debt.
• Champion engineering best practices across coding, code reviews, testing, performance assurance and production support.
• Collaborate with product owners and quality assurance teams to translate business needs into reliable, high-quality solutions.

Strengthen DevSecOps and Operational Excellence

• Partner with DevOps teams to design and integrate automated CI/CD pipelines and deployment processes.
• Embed automated security scanning and security-first practices throughout the software development lifecycle.
• Ensure solutions meet established performance, reliability, quality and security standards.

Engage Stakeholders and Advance Innovation

• Serve as the primary technical point of contact for project teams, management and key stakeholders.
• Provide clear, data-driven updates on delivery progress, technical risks and mitigation measures.
• Monitor emerging AI and engineering trends and champion the responsible adoption of technologies that create value for NUS.

Who You Are

Must Have

Qualifications and Leadership

• A Bachelor’s or Master’s degree in Computer Science, Information Technology or a related discipline.
• At least 10 years of experience in software development and engineering leadership, including delivery across a minimum of three complete software development life cycles.
• Proven experience building, leading and developing multiple engineering teams, with direct people-management responsibility.
• Strong strategic thinking, problem-solving and risk-management capabilities.
• Effective stakeholder-management and communication skills, with the ability to align technical roadmaps and delivery priorities with organisational goals.
• A collaborative, hands-on leadership style that fosters accountability, innovation and technical excellence.

Technical Capabilities

• Strong experience across modern frontend and backend development technologies, such as JavaScript/TypeScript, Angular or React, .NET/ASP.NET Core, Java, Node.js or Python.
• Proven expertise in cloud-native development, microservices and containerisation.
• Strong knowledge of relational databases, including Oracle or SQL Server, and experience with modern data stores such as Cosmos DB or vector databases.
• Hands-on experience with AI technologies, including Azure OpenAI, RAG architectures, agentic AI frameworks, vector search and prompt engineering.
• Demonstrated ability to translate AI technologies into secure, scalable, production-grade and reusable services.
• Practical experience with DevSecOps workflows, software quality practices and secure software delivery.

Nice to Have

• Working knowledge of Flutter or hybrid mobile application development.
• Familiarity with DevSecOps and observability tools such as Azure DevOps, Jenkins, Fortify, SonarQube or Splunk.
• Experience with test automation, performance testing or load testing using tools such as WebdriverIO, Katalon or JMeter.

About NUS IT

Why Join NUS IT

More Information

Location: Kent Ridge Campus

Organization: NUS Information Technology

Department : Applications - Applications Architecture & Technology

Employee Referral Eligible: Yes

Job requisition ID : 31702