Intern, Group HR Information System (Off-cycle Jan-Jun 2026)

Posted 5 Days Ago
Be an Early Applicant
Singapore
In-Office
Internship
Real Estate
The Role
Assist the Group HR Information System team in developing AI-driven bots for HR process automation and employee self-service. Support conversational design, document bot configurations, and research AI tools relevant to HR.
Summary Generated by Built In

About Us

Headquartered and listed in Singapore in 2021, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold.  As at 13 August 2025, CLI had S$117 billion of funds under management held via stakes in seven listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in demographics, disruption and digitalisation-themed strategies.  Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centres, private credit and special opportunities.

Job Description

You will be assisting the Group HR Information System team in the development of the AI Bots.
 

Responsibilities

  • Assist in the development and prototype of AI-driven bots for use cases such as HR process automation, employee self-service and data insights

  • Support prompt engineering conversational design, and workflow integration using tools such as Microsoft Copilot Studio, Power Automate, or Workday APIs

  • Apply knowledge of generative AI tools (e.g. Microsoft Copilot, Workday APIs, etc.) to design practical solutions aligned with our Workday and broader HR technology stack

  • Document bot logic, configurations, and testing outcomes

  • Participate in brainstorming sessions to identify pain points and propose automation solutions

  • Conduct research on the latest AI tools and frameworks relevant to HR and enterprise use

  • Collaborate with existing HR Technology team members to co-create AI use cases

  • Perform any other ad-hoc duties as assigned

Requirements

  • Currently pursuing a Degree in Computer Science, Information Technology, Data Science, or any other related disciplines

  • Strong academic standing with interests in AI, automation, or digital innovation

  • Familiarity with generative AI tools (e.g. Microsoft Copilot, prompt engineering)

  • Basic experience with low-code/no-code platforms (e.g. Power Automate, Copilot Studio) is a plus

  • Understanding of REST APIs, chatbot logic or RPA concepts would be advantageous

  • Strong problem-solving skills

  • Good verbal and written communication skills

Closing Statement:

At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.


Only shortlisted candidates will be notified.

Top Skills

Microsoft Copilot
Power Automate
Rest Apis
Workday Apis
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The Company
8,549 Employees

What We Do

CapitaLand Group (CapitaLand) is one of Asia’s largest diversified real estate groups. Headquartered in Singapore, CapitaLand’s portfolio focuses on real estate investment management and real estate development, and spans across more than 260 cities in over 40 countries.

Within its ecosystem, CapitaLand has developed an integrated suite of investment management and operating capabilities that supports its real estate businesses and platforms in building core competencies across the real estate value chain. With this full stack of capabilities, CapitaLand can optimise the strategies of its listed real estate investment management business CapitaLand Investment, and its privately held property development arm CapitaLand Development; to drive competitive advantage for its businesses.

CapitaLand places sustainability at the core of what it does. As a responsible real estate company, CapitaLand contributes to the environmental and social well-being of the communities where it operates, as it delivers long-term economic value to its stakeholders

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