AI Applications Specialist

Swire Properties Limited 太古地產有限公司; Hong Kong; On-site; HKD 800,000 - 1,200,000; Full time

Job summary

Swire Properties Limited 太古地產有限公司 is seeking a hands-on AI builder who ships production‑grade AI solutions directly with business users and grows departmental AI fluency across units.

The role focuses on two pillars: Build and Multiply, combining end‑to‑end solution delivery with enterprise‑wide enablement in an agile environment. You will design, deploy, and refine AI initiatives with a strong governance framework.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Master's degree (e.g. AI, Data Science, Technology Management, MBA) is advantageous.
• 5-8 years of experience in IT, digital application delivery, or technology project implementation.
• 2-3 years of experience supporting AI applications, AI platforms, automation solutions, or AI capability integration within business applications.
• Hands-on coding / build experience (e.g. Python, SQL, or low-code platform scripting) sufficient to personally build and iterate AI solutions.
• Demonstrated experience training, coaching, or supporting non-technical users on a platform or tool.
• Comfortable navigating ambiguity and delivering iterative solutions in Agile, Scrum, or hybrid environments.
• Familiarity with project management and Agile delivery methodologies.
• Cloud platform knowledge and certification preferred.

Responsibilities

• Personally design, build, test, and iterate AI applications and agents (RAG, model tuning, agentic workflows) directly alongside business users.
• Own solutions from discovery through production deployment, monitoring, and iteration (not just handoff at go-live).
• Build and configure integrations using low-code-to-pro-code platforms (e.g. Copilot Studio, Power Platform, Azure AI Foundry).
• Troubleshoot and refine deployed solutions based on real usage and business feedback.
• Support the implementation of Agentic AI, automation, and workflow optimization initiatives
• Identify and develop departmental “AI Champions” per business unit, coaching them on low-code/no-code AI tools so departments become increasingly self-sufficient on routine AI use cases.
• Create reusable templates, prompt libraries, and markdown-based knowledge assets that non-technical champions can adapt and use independently.
• Collaborate with business users, technical teams, and external partners to ensure solutions meet business needs.
• Contribute to AI governance, best practices, documentation, and operational support.
• Support and mentor junior team members and departmental champions as required.
• Report field learnings from both build work and champion enablement back into AI governance and the platform roadmap.

Skills

AI delivery

Agile / Scrum

Low-code / no-code

Python / SQL

Coaching non-technical users

Education

Bachelor's degree in CS/IT/Engineering

Master's degree advantageous

Tools

Copilot Studio

Power Platform

Cloud platforms

Python

SQL

Job description

We are Makers — people who care deeply about shaping places where life, work and nature can flourish together. Grounded in our heritage and united by a culture of trust and respect, we dare to take on ambitious ideas and turn them into something real — thoughtfully, collaboratively, and with care for the communities we serve. Our people are at the heart of it all: free to be themselves, driven to make a difference, and inspired to create alongside others. Brick by brick, we build vibrant, inclusive spaces that stand the test of time — because real progress comes from people who choose to make it happen.

We are looking for a hands‑on AI builder who both ships production‑grade AI solutions directly with business users, and grows departmental AI fluency by developing “AI Champions” across business units. This role is a deliberate step on a two‑way pathway. On one side, toward deep technical AI delivery in the model of a Forward Deployed Engineer, an engineer who embeds with business users, personally builds, and owns solutions end‑to‑end. On the other, toward a genuinely tech‑savvy organisation, where every department is equipped to use and adapt AI tools with confidence. The role is structured around two complementary pillars, Build and Multiply. Each with distinct time allocation and measurable outcomes, so that neither hands‑on delivery nor departmental enablement is diluted by the other. The successful candidate will work in an agile manner to continuously refine AI initiatives, including RAG solutions, model tuning, markdown‑based content and knowledge structuring, skills development, constituent AI application development, and support for AI‑SDLC initiatives.

RESPONSIBILITIES

Personally design, build, test, and iterate AI applications and agents (RAG, model tuning, agentic workflows) directly alongside business users.

Own solutions from discovery through production deployment, monitoring, and iteration (not just handoff at go‑live.

Build and configure integrations using low‑code‑to‑pro‑code platforms (e.g. Copilot Studio, Power Platform, Azure AI Foundry).

Troubleshoot and refine deployed solutions based on real usage and business feedback.

Support the implementation of Agentic AI, automation, and workflow optimization initiatives

Identify and develop departmental “AI Champions” per business unit, coaching them on low‑code/no‑code AI tools so departments become increasingly self‑sufficient on routine AI use cases.

Create reusable templates, prompt libraries, and markdown‑based knowledge assets that non‑technical champions can adapt and use independently.

Collaborate with business users, technical teams, and external partners to ensure solutions meet business needs.

Contribute to AI governance, best practices, documentation, and operational support.

Support and mentor junior team members and departmental champions as required.

Report field learnings from both build work and champion enablement back into AI governance and the platform roadmap.

REQUIREMENTS

Education & Experience

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Master's degree (e.g. AI, Data Science, Technology Management, MBA) is advantageous.

5-8 years of experience in IT, digital application delivery, or technology project implementation.

2-3 years of experience supporting AI applications, AI platforms, automation solutions, or AI capability integration within business applications.

Hands‑on coding / build experience (e.g. Python, SQL, or low‑code platform scripting) sufficient to personally build and iterate AI solutions.

Demonstrated experience training, coaching, or supporting non‑technical users on a platform or tool.

Comfortable navigating ambiguity and delivering iterative solutions in Agile, Scrum, or hybrid environments.

Familiarity with project management and Agile delivery methodologies.

Cloud platform knowledge and certification preferred.

Preferred Certifications

Certified AI Engineer or equivalent

Low‑code / no‑code AI platform certifications (e.g. Copilot Studio, Power Platform)

BEHAVIOURAL COMPETENCIES

Decision Quality

Business Acumen

Drives for Results

Ensures Accountability

Communicates Effectively

Situational Adaptability

WHY CHOOSE US

Randstad Hong Kong: Awarded Most Attractive Employer in the Property and Real Estate sector for 2024 and 2025

HRoot Awards (Chinese Mainland): Received the Best Employer Award for three consecutive years in 2023, 2024, and 2025, together with the Best Social Enterprises Award in 2024

Don’t Miss This Opportunity

As an equal opportunity employer, Swire Properties strives to foster a diverse workforce and inclusive workplace, where People can thrive.

If you require special assistance and accommodations during any part of the recruitment process, including the online application and/or the selection process, please reach out to us via email at any time.

If we haven't contacted you six weeks after your submission, then please consider your application unsuccessful this time.

All personal data collected during the application process will be kept for 12 months after its completion, and then destroyed. All information will be used for recruitment and appointment purposes only. The Company will handle all personal data confidentially in accordance with the Hong Kong Special Administrative Region's Personal Data (Privacy) Ordinance.