Career Opportunities

The Development & Alumni Affairs Office is establishing a new AI & Data Lab to support innovation in advancement intelligence. We are seeking a technically strong and motivated AI Engineer to implement our AI strategy roadmap and deliver solutions that enhance fundraising and alumni engagement. Candidates who bring creativity, technical expertise, and a passion for AI from different industries are welcomed to apply.

Key Responsibilities

• Design, develop, and deploy LLM‑embedded applications to automate workflows and improve office operations.
• Implement AI platforms, systems, and services that support agentic AI initiatives within DAAO.
• Apply AI governance practices as directed, ensuring responsible and secure adoption of AI technologies.
• Translate strategic priorities into actionable technical solutions in collaboration with senior leadership.
• Build and maintain retrieval‑augmented generation (RAG) pipelines and other advanced AI frameworks.
• Contribute to agile development practices and foster innovation within the Lab.

Requirements

• Bachelor’s degree or above in Data Science, Statistics, Computer Science, Information Systems, or related fields with at least 2 years’ relevant experience.
• Strong background in software development with hands‑on experience in building scalable applications.
• Proficiency in API design, integration, and management.
• Solid knowledge of networking, security protocols, and system architecture.
• Experience with cloud platforms, backend frameworks, and workflow automation.
• Familiarity with RAG, vector databases, and modern AI toolchains.
• Demonstrated ability to work with agentic AI and generative AI applications.
• Experience in agile development environments and iterative prototyping.
• Real‑world project experience (professional or personal) in AI/ML application developments.
• Enthusiasm for generative AI, with a strong sense of innovation and experimentation.
• Excellent communication skills and ability to collaborate across technical and non‑technical teams.

What We Offer

The appointment will be made on a fixed-term full-time contract for 2 years, to commence as soon as possible with the possibility of renewal subject to satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 10% of basic salary. Other benefits include annual leave and medical benefits.

How to Apply

The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will commence as soon as possible and continue until May 4, 2026 or until the post is filled, whichever is earlier.