AI Engineer; Group IT

About the Company

Far East Organization, together with its Hong Kong-based sister company Sino Group, is one of Asia's largest real estate groups. The group has publicly-listed as well as private development and investment companies under its umbrella and operates in Singapore, Malaysia, Hong Kong, China, Taiwan, Australia, Japan, and Hawaii.

Far East Organization operates as a Christian enterprise which seeks to be a community of love and a workplace of grace doing business guided by the eternal truths of Jesus Christ.

Far East Organization is the largest private property developer in Singapore. Since its establishment in 1960 by the late Mr Ng Teng Fong, it has built over 780 developments including 55,000 private homes, and is the city-state's largest private residential landlord. It also operates one of the largest hospitality portfolios and has development and investment interests across mixed-use, residential, hotels, serviced residences, retail, office, self‑storage, healthcare and industrial developments.

Far East Organization includes three listed entities:
Far East Orchard Limited, a hospitality and property group;
Far East Hospitality Trust, comprising Far East Hospitality Real Estate Investment Trust and Far East Hospitality Business Trust; and Yeo Hiap Seng Limited, a 121‑year‑old pioneer of processed food and beverage products in Southeast Asia.

The organization has won 13 FIABCI World Prix d'Excellence awards and was conferred the Best Organisation for Championing Human Capital by Singapore Human Resources Institute (SHRI) in 2021. It ranks among the top 50 Singapore's Best Employers 2022 by The Straits Times – Statista.

The Group IT Data Team’s vision is to establish scalable, enterprise‑grade AI solutions that enhance operational efficiency, unlock new business value, and accelerate digital transformation across business units.

As an AI Engineer, you will design, develop, and deploy AI‑driven applications with a primary focus on Generative AI (GenAI) and Large Language Models (LLMs). You will collaborate with business and technology teams to identify use cases, translate requirements into AI solutions, and deliver scalable, secure, and production‑ready applications. The role will also expand into broader machine learning and advanced analytics initiatives.

• Design, develop, and deploy GenAI/LLM‑based applications such as copilots, chatbots, search, and knowledge assistants.
• Work with enterprise platforms (e.g., Azure OpenAI, Azure AI Services, SAP AI capabilities) to build and integrate AI solutions.
• Translate business use cases into AI solution architectures, including prompt design, orchestration, and API integration.
• Conduct data analysis and data engineering/modelling to prepare data for model training.
• Develop and manage end‑to‑end AI pipelines, including data ingestion, preprocessing, embedding, model interaction, and output validation.
• Collaborate with cross‑functional teams (business users, IT, vendors) to ensure AI solutions align with operational needs and enterprise architecture.
• Ensure responsible AI practices, including governance, security, data privacy, and model evaluation.
• Improve and maintain AI systems for performance, scalability, and cost efficiency.
• Stay updated with emerging AI technologies and continuously enhance the organization’s AI capabilities.
• Gradually expand into machine learning model development, predictive analytics, and advanced data science use cases.

• Degree in Computer Science, Information Technology, Engineering, or equivalent, with 2–5 years of experience in software engineering, data engineering, or AI/ML‑related roles.
• Hands‑on experience or strong exposure to GenAI/LLM technologies (e.g., Azure OpenAI, Lang Chain, prompt engineering).
• Familiarity with cloud platforms (preferably Azure) and API‑based system integration.
• Experience in programming languages such as Python, JavaScript, or similar.
• Understanding of data concepts including data pipelines, embeddings, vector databases, and APIs.
• Proficiency in advanced SQL and major data platforms (relational, cloud data warehouse, and big data tools).
• Strong problem‑solving skills with the ability to translate business needs into technical solutions.
• Exposure to SAP ecosystem or enterprise systems integration is an advantage.
• Understanding of machine learning concepts and willingness to grow into ML model development.
• Strong communication skills and ability to work effectively in cross‑functional teams.
• Self‑driven, adaptable, and keen to learn emerging AI technologies.