Assistant Manager, Information Technology (AI Application Development)

Urban Redevelopment Authority of Singapore (URA); Hong Kong; On-site; HKD 600,000 - 1,200,000; Full time

Job summary

The Urban Renewal Authority is seeking a seasoned AI/ML specialist to lead the design, development and deployment of AI-powered solutions across renewal projects in Hong Kong. You will collaborate with business and IT teams to translate workflows into scalable models and automation.

Applicants should have a strong background in AI/ML, data science, and LLM/LLMOps, with hands-on Python experience and the ability to communicate complex concepts in English and Chinese to diverse stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, Statistics, Engineering, or a related quantitative field.
• Hands-on AI/ML experience with prototyping, building, integration or deployment, ~5 years in IT.
• Proficiency with Python and AI/ML frameworks (scikit-learn, PyTorch/TensorFlow, Hugging Face Transformers, LangChain/LlamaIndex).
• Experience designing and implementing LLM solutions, including RAG pipelines, prompt engineering, fine-tuning, and LLMOps.

Responsibilities

• Collaborate with business and IT teams to understand workflows and requirements.
• Prototype, validate, and build AI, machine-learning, and automation solutions.
• Assist in scoping integrations with applications, databases, APIs, identity services, and infrastructure.
• Define acceptance criteria, evaluation datasets, rollout approaches, and support arrangements.
• Design, develop, and implement end-to-end AI/ML solutions including predictive models, NLP, CV, and automation.
• Build and integrate generative AI patterns (RAG, fine-tuning, prompt engineering) and LLMOps for evaluation, monitoring, and safe deployment.
• Prepare data for AI solutions with feature engineering, labeling, embeddings, vectorization, and data-quality checks.
• Support deployment through pilots and production rollouts; troubleshoot incidents.
• Monitor quality, latency, cost, security, adoption, and business outcomes.
• Implement AI strategy, policies, standards, and technical controls (security, privacy, access-control, Responsible AI).
• Evaluate emerging AI technologies and proofs of concept with foundation and multimodal models.

Skills

AI/ML development

Python programming

Data science

Cloud/Hybrid deployments

Education

Bachelor’s degree in Computer Science or related

Tools

scikit-learn

PyTorch/TensorFlow

Hugging Face Transformers

LangChain/LlamaIndex

Job description

The Urban Renewal Authority (“URA”) is tasked to undertake, encourage, promote and facilitate urban renewal of Hong Kong in accordance with the provisions of the Urban Renewal Authority Ordinance and the Urban Renewal Strategy published by the Government. The URA adopts a comprehensive and holistic approach by ways of its two core businesses i.e. redevelopment and rehabilitation, as well as preservation, revitalisation and retrofitting, for creating a sustainable and quality living environment for the people of Hong Kong.

Responsibilities

• Collaborate with business and IT teams to understand workflows and requirements.
• Prototype, validate, and build AI, machine-learning, and automation solutions.
• Assist in scoping integrations with existing applications, databases, APIs, identity services, and infrastructure, identifying risks and dependencies early.
• Define measurable acceptance criteria, evaluation datasets, rollout approaches, and support arrangements in collaboration with project stakeholders.
• Design, develop, and implement end-to-end AI/ML solutions, including predictive models, NLP, computer vision, decision support, automation, and generative AI applications.
• Build and integrate robust generative AI patterns (such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and guardrails) and implement LLMOps practices for model evaluation, monitoring, and safe deployment.
• Prepare and process data for AI solutions, including feature engineering, labeling, embeddings, vectorization, and data-quality checks, to build reliable and maintainable production components.
• Support the deployment of solutions through controlled pilots and production rollouts and troubleshoot incidents.
• Monitor quality, latency, cost, security, adoption, and business outcomes.
• Implement AI strategy, policies, standards, and technical controls (including security, privacy, access-control, and Responsible AI practices) within assigned solutions.
• Assist in evaluating and experimenting with emerging AI technologies, including foundation and multimodal models, agentic workflows, vector databases, and orchestration frameworks to build focused proofs of concept.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related quantitative field.
• Hands-on experience in AI/ML, data science, or generative AI development (including prototyping, building, integration, or deployment), with around 5 years of relevant IT experience.
• Proficiency with Python and common AI/ML frameworks and tools (e.g., scikit-learn, PyTorch/TensorFlow, Hugging Face Transformers, LangChain/LlamaIndex).
• Experience in designing and implementing LLM solutions, including RAG pipelines, prompt engineering, fine-tuning, and LLMOps, with an understanding of cloud-based, on-premises, or hybrid deployments.
• Good understanding of security, privacy, and compliance requirements for AI (PII handling, access controls, encryption, secrets management, prompt-injection defenses).
• Strong analytical, systems-thinking, troubleshooting, and delivery skills, with a track record of delivering production-ready AI or data solutions.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts clearly in both English and Chinese to diverse stakeholders at all levels.
• Proactive, innovative, security-conscious, and comfortable working independently in a dynamic, rapidly changing technical environment.
• Excellent command of written and spoken English and Chinese.

Closing date for application

24 September 2026

All applications will be treated in the strictest confidence and information provided will be used for the consideration of applications. Applicants not invited for interview within four weeks from the closing date may consider their applications unsuccessful.

Personal data provided by job applicantswill be treated in strict confidence and used strictly in accordance with our “Personal Information Collection Statement Pertaining to Recruitment” for recruitment purpose only. A copy of the Statement is available on our website and obtainable on request. Applicantsmay be consideredfor other suitable positions in the Authority and all personal data of unsuccessful applicants will be retained for a maximum of two years.__