(30378) Enterprise Systems Engineer ( & AI Workflows)

About Us

Were NUS Enterprise the innovation and entrepreneurship arm of the National University of Singapore (NUS). Our mission: enable innovation at scale with systems that are smart connected and increasingly AI-driven.

Were hiring an Enterprise Systems Engineer ( & AI Workflows) to take ownership of our in-house workflow platform. Youll configure customise and integrate for our teams contribute its data into our Azure-based system of record and explore AI-assisted workflows and automation as the platform evolves.

The Role

Youll be the builder behind our workflow systemsmapping business processes designing automations and ensuring works smoothly. Over time youll also experiment with AI-enabled features such as intelligent automations or natural language queries. You will also contribute data into our system of record in Azure ensuring its quality and integration with enterprise systems.

What Youll Do

Configure and customise boards dashboards and automations embedding business intelligence principles for reporting and KPIs.
Build and maintain workflows troubleshoot issues and ensure smooth platform operation.
Build integrations with enterprise tools via REST/GraphQL APIs contributing to digital transformation initiatives.
Contribute data into the system of record hosted in Azure ensuring quality and accuracy.
Apply business process modelling to translate workflows into scalable digital solutions.
Troubleshoot and resolve technical issues coordinating with vendors as needed.
Provide training and guidance to colleagues making systems and processes understandable to all.
Explore AI-assisted workflows as part of roadmap.

What Youll Bring

2 years of experience in SaaS platform engineering workflow support or enterprise IT.
Strong grasp of RESTful/GraphQL APIs and JSON structures.
Experience building and troubleshooting workflows on .
Basic scripting or software development skills for platform extensions.
Ability to connect and manage structured data integrations with understanding of SQL.
Familiarity with contributing data from SaaS platforms into cloud-based systems of record (Azure preferred).
Excellent problem-solving instinctsyou get to the root of issues quickly.
Communication skillsyou can explain technical systems clearly to non-technical colleagues.
Team-first attitude and adaptability.
Demonstrated AI/LLM project work in past experience.

Bonus Points

Hands-on experience with .
Familiarity with SSO (OAuth SAML SCIM).
Curiosity about AI/LLM features in workflow platforms.

Why Join Us

This is your chance to grow into the future of enterprise systemsstarting with today and building AI-enabled workflows and Azure-integrated data systems tomorrow.

Send your resume to our Job Mailbox: No cover letter requiredbut wed love to know what drives you and what youre excited to build next.

Please be informed that only shortlisted candidates will be notified.

Job Type: 2-year Contract

Location:Kent Ridge Campus

Organization: NUS Enterprise

Department: ETP - Administration

Job requisition ID: 30378