Editorial summary

The company is seeking an Project Engineer for an 11-month contract within the School of InfoComm Technology to support the AI and Digitalisation Centre (AIDC). The role involves developing and maintaining AI, automation, software, and digitalisation capabilities, including building prototypes, technical assets, and digital tools, as well as supporting research, testing, and documentation. Candidates should have relevant engineering experience with a focus on systems integration and digital solutions. Compensation details are not specified.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/project-engineer-11-month-contract-school-of-infocomm-technology-34496 first appeared in Job-Q.com on 26 Sep 2026]

[What the role is]

This is an 11-month contract position as a Project Engineer in the School of InfoComm Technology.

The Project Engineer supports the AI and Digitalisation Centre (AIDC) by developing and maintaining internal AI, automation, software, systems-integration and digitalisation capabilities. The role focuses on building reusable prototypes, technical assets, demonstration platforms and internal digital tools while supporting technology research, testing, documentation and technical implementation.

[What you will be working on]

Your responsibilities will include, but are not limited to, the following:

• Develop and maintain AI, automation, software, systems-integration and digitalisation solutions for the AI and Digitalisation Centre (AIDC).
• Build reusable technical assets, proof-of-concept templates, demonstration systems, workflow automations, dashboards, API connectors and deployment patterns for future use.
• Conduct technical research, feasibility studies, testing, benchmarking and experimentation on relevant AI and digitalisation technologies.
• Support AIDC internal digitalisation including workflow automation, knowledge management, document processing, enquiry tracking, reporting and operational tools.
• Maintain AIDC development, test and demonstration environments including technical documentation, code repositories, system configurations and implementation guides.
• Support technical planning, issue tracking, quality testing and continuous improvement for internal AIDC initiatives.
• Provide limited early-stage technical input for opportunity exploration, including demonstrations, high-level feasibility assessments and non-binding solution concepts.

[What we are looking for]

• Diploma or Degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related discipline.
• At least 1 year of relevant hands-on experience in software development, systems integration, automation, digitalisation, AI-enabled solutions or technical project implementation.
• Proficiency in at least one programming or scripting language, such as Python, JavaScript/TypeScript, Go, Java, or equivalent.
• Familiarity with developing web applications, APIs, databases, workflow automations, dashboards, cloud services or on-premises systems.
• Basic knowledge of AI and generative AI concepts.
• Familiarity with Git-based version control, testing, technical documentation, issue tracking and deployment practices.
• Ability to analyze operational needs and translate them into practical technical solutions.
• Strong analytical, troubleshooting, documentation, communication and problem-solving skills.
• Demonstrates initiative, adaptability, attention to detail and a willingness to learn and experiment with emerging technologies.

 

Advantageous Requirements, Preferred but not a need

• Experience with Docker, Linux, cloud platforms such as AWS or Azure, networking, authentication, access control and data-security practices.
• Experience with deploying or integrating AI applications, APIs, databases, cloud services and enterprise systems.
• Familiarity with DevOps, CI/CD, containerization, system monitoring or infrastructure-as-code practices.
• Experience developing proof-of-concept systems, technical demonstrations, automation workflows, IoT applications, dashboards, computer-vision solutions, or internal digital tools.
• Experience supporting technical projects from planning and prototyping through testing, documentation, deployment and handover
• Possession of or progress towards a recognized project-management certification such as Project Management Professional (PMP), Certified Associate in Project Management (CAPM), Scrum Master or an equivalent certification.

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