Assistant Manager, Information Technology (AI Application Development)

URA Urban Renewal Authority; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

The Urban Renewal Authority is seeking a senior AI/ML professional to drive the design, prototyping, and deployment of AI, ML, and automation solutions for Hong Kong urban renewal initiatives.

You will collaborate with business and IT teams, build end-to-end AI systems, and ensure robust governance, privacy, and security while delivering measurable project outcomes.

Qualifications

• Hands-on AI/ML development with around 5 years IT experience.
• Experience prototyping and deploying AI/ML solutions at scale.
• Strong knowledge of LLMs, RAG, prompt engineering, and model ops.

Responsibilities

• Collaborate with business and IT to understand workflows and requirements.
• Prototype, validate, and build AI, ML, and automation solutions.
• Scoping integrations with apps, databases, APIs, and identity services.
• Define acceptance criteria, datasets, rollout approaches, and support.
• Design and implement end-to-end AI/ML solutions including NLP and CV.
• Monitor quality, latency, cost, security, adoption, and outcomes.

Skills

AI/ML

Python

LLM pipelines

RAG pipelines

Prompt engineering

Fine-tuning

LLMOps

Data modeling

Education

Bachelor’s degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Hugging Face Transformers

LangChain

LlamaIndex

scikit-learn

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

The Urban Renewal Authority (URA) was established in May 2001 under the Urban Renewal Authority Ordinance as the statutory body to undertake, encourage, promote and facilitate urban renewal of Hong Kong, with a view to addressing the problem of urban decay and improving the living conditions of residents in old districts.