AI Engineer

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 LLMembedded 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 retrievalaugmented generation (RAG) pipelines and other advanced AI frameworks.
• Contribute to agile development practices and foster innovation within the Lab.

Requirements

• Bachelors 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 handson 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.
• Realworld 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 nontechnical 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 untilMay 4 2026or until the post is filled whichever is earlier.