AI ENGINEER - DIGITAL SERVICES & TECHNOLOGY OFFICE

Government Technology Agency (GovTech); Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Government Technology Agency (GovTech) in Singapore seeks an AI Engineer for a 2-year contract to drive NP's AI transformation by building production-ready AI systems. You will work on GenAI-powered apps, NLP, automation, and intelligent document processing, partnering with data scientists and product teams.

You will develop and deploy end-to-end AI solutions across Azure/AWS, implement MLOps, and ensure scalable, secure, and compliant workflows across institutional domains.

Qualifications

• Minimum 3 years of hands-on AI/ML development in production environments.
• Experience building and managing AI infrastructure and applications.

Responsibilities

• Design, develop, and implement AI/ML models and GenAI-powered applications.
• Build and train models across administrative and operational domains.
• Deploy AI solutions with cloud AI services and enterprise integration.
• Ensure QA, security, and governance for AI platforms and workflows.

Skills

Python

R

Java

TensorFlow

PyTorch

scikit-learn

Azure

AWS

MLOps

Docker

Kubernetes

Databricks

Copilot Studio

Power Platform

API development

Education

Bachelor’s degree in Computer Science / Data Science / AI / ML / Software Engineering

Tools

Databricks

Microsoft Co-Pilot Studio

Azure AI Studio

Docker

Kubernetes

Terraform

Job description

[What the role is]

This is a 2-year contract position with the Digital Services & Technology Office. The AI Engineer will be instrumental in implementing NP's AI transformation strategy by developing production-ready AI applications and systems that leverage AI tools and Cloud AI services. This role focuses on building robust, scalable AI solutions using GenAI models, deep learning, neural networks, and other AI technologies to improve NP operations through intelligent automation and advanced analytics. Working in close collaboration with the AI Product Manager, data scientists, and cross-functional teams, the AI Engineer will transition AI models from research to production and embed AI capabilities into NP's administrative and academic support workflows.

[What you will be working on]

• AI Solution Development Design, develop, and implement AI/ML models, algorithms, and GenAI-powered applications (including conversational AI, content generation, and intelligent document processing systems) using diverse approaches and platforms such as Microsoft Copilot Studio, Databricks Apps, Azure AI Studio, and custom development frameworks. Deploy and integrate AI solutions with existing enterprise systems, ensuring compatibility with data infrastructure and institutional workflows.
• Model Development & Operations Design, build, and train machine learning, deep learning, and neural network models tailored to address specific institutional needs across administrative and operational domains. Collect, analyse, and clean data from various sources to train and test AI models, working closely with data engineering teams to ensure data quality and accessibility. Test, validate, and optimise algorithms to ensure reliability, scalability, and performance across various use cases and production environments.
• Technical Implementation Configure and utilise AI development environments and tools within the AI platform infrastructure provided by the infrastructure team. Implement MLOps practices including automated model training, testing, deployment pipelines, version control, and continuous integration for AI solutions. Deploy AI models and applications using cloud AI services (Azure, AWS) and platform infrastructure, ensuring optimal performance and resource utilisation. Develop APIs and microservices to serve AI models, enabling robust integration with institutional workflows and applications.
• Quality Assurance & Support Ensure AI solutions meet NP's technical standards for scalability, reliability, security, and maintainability while complying with data privacy regulations and ethical AI guidelines. Provide technical support, troubleshooting, and performance optimisation for deployed AI applications and models. Collaborate with Infrastructure team to define requirements for AI platform capabilities and provide feedback on platform performance and functionality. Work closely with data scientists, product teams, and business stakeholders to align AI solutions with institutional goals and embed AI capabilities into workflows.

[What we are looking for]

• Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical discipline.
• Minimum 3 years of hands‑on experience in AI/ML development with demonstrated expertise in building and managing both AI infrastructure and applications in production environments.

Skills & Certifications Proficiency in programming languages such as Python, R, or Java, with experience in AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, and related ecosystem tools. Experience with cloud platforms (Azure, AWS) including AI services, infrastructure-as-code, containerisation technologies (Docker, Kubernetes), and platform engineering practices. Expertise in MLOps tools and practices, including model lifecycle management, automated deployment pipelines, monitoring, and governance frameworks. Knowledge of data engineering concepts, API development, microservices architecture, and enterprise integration patterns. Experience with enterprise platforms such as Databricks, Microsoft Co-Pilot Studio, Power Platform, and familiarity with Singapore IT governance and security frameworks.

Attributes

• Detail-focused and methodical.
• Problem-solver with a performance-driven mindset.
• Adaptable and collaborative within cross-functional teams.
• Strong communicator able to work across AI, governance, and business stakeholders.

http://jobs.careers.gov.sg The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Be part of the team that shapes the future of Singapore. Log on and take your first step towards a career that matters!