Generative AI Jobs in Singapore: High-Demand Roles You Should Know About

Generative AI is reshaping the job market in Singapore, with several emerging positions, such as prompt specialists, AI engineers and GenAI consultants currently emerging. Demand for Generative AI jobs in Singapore has increased rapidly, with several notable developments in the national market.

OpenAI has established its regional headquarters in Singapore to drive expansion in the Asian market. At the same time, AWS (Amazon Web Services) has also scaled up its cloud infrastructure nationwide with an investment of $9 billion in existing and new data centers. The latter investment alone is expected to infuse $23.7 billion into Singapore’s GDP by 2028, according to forecasts. Let us look at the top roles, salaries, skills, and how you can position yourself for these job opportunities.

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High-Demand Generative AI Jobs in Singapore: What’s Out There?

Here are some of the high-demand AI jobs in the space that you should know about.

Position	Average Annual Salary	Key Skills	Top Employers
Generative AI Engineer	SGD 120,000 – SGD 200,000	Python, Problem-Solving, and Deep Learning (DL) and ML Frameworks	Google, Taiger, and Amazon Web Services
Machine Learning/ML Engineer	SGD 73,104 – SGD 123,972	Programming Proficiency, Problem-Solving, and ML Algorithms	Google, Grab, and Amazon Web Services
Prompt Engineer/Specialist	SGD 48,000 – SGD 108,000	Natural Language Processing (NLP) Expertise, Programming Proficiency (Python), and Creative Problem-Solving	Google, Grab, and HoYoverse
Research Scientist (GenAI Focus)	SGD 72,000 – SGD 180,000	Advanced Statistics and Mathematics, Programming Proficiency, and Publication and Research Track Record	Google DeepMind, Agency for Science, Technology and Research, and TikTok
AI Consultant/Transformation Lead	SGD 90,000 – SGD 200,000	Digital Vision and Strategy, Deep Understanding of ML and AI, Organizational Change Management	Accenture, JPMorgan Chase & Co., and Capgemini
AI Trainer/Data Curator	SGD 76,176 – SGD 90,200	Data Labeling and Annotation, Attention to Detail, and Data Curation and Cleaning	Google DeepMind, ViSenze, and Agency for Science, Technology, and Research

Sources: Glassdoor, as of August 3, 2025; Indeed, as of November 22, 2024

Generative AI Engineer

Generative AI engineers hold the responsibility to create and execute generative AI models while working with bigger datasets and collaborating with cross-functional organizational teams. Other tasks include model development and training, data management, performance optimization, and model deployment.

Machine Learning/ML Engineer

Machine learning engineers are responsible for developing and implementing ML models, training these models on data, and optimizing their performance. Other tasks include establishing data preprocessing, feature engineering, and data pipelines, as well as managing computational resources and working with vast datasets to extract insights and train machine learning models.

Also Read: Best Recruitment Agencies in Singapore 2026: How to Choose the Right Hiring Partner

Prompt Engineer/Specialist

Prompt engineers and specialists have several responsibilities, including optimizing prompt performance and integrating the latest advancements in natural language processing, AI, and machine learning. They also collaborate with product, content, and data science teams to create and refine prompts. There are several AI job opportunities in this space, including roles in prompt development and refinement, context and constraint management, prompt experimentation and testing, and other related tasks.

Research Scientist (GenAI Focus)

You will discover numerous AI-related jobs in this category, with demand for professionals who can create and implement GenAI models and contribute to advanced research in the field. Other tasks include developing and implementing unique architectures and algorithms for GenAI models and LLMs, as well as optimizing models for specific applications and functions. Research scientists also handle data analysis and interpretation.

Also Read: 5 Best Generative AI Tools for Text Generation to Simplify Your Work

AI Consultant/Transformation Lead

The AI career opportunities in this space include developing and executing AI solutions and strategies for various entities. They lead digital transformation initiatives and successful AI adoption. Professionals also handle data analysis and modeling, along with ushering in organizational change management in terms of data-driven operations.

AI Trainer/Data Curator

AI trainers and data curators play vital organizational roles, gathering relevant data and cleaning it to remove inconsistencies and errors. They also handle data labeling, helping to build high-quality training data for advanced models, such as LAMs, LLMs, and Action Agents.

Also Read: How to Use AI & Machine Learning to Automate Data Analysis

What Employers Seek in Generative AI Candidates

Here are some of the key skills and attributes that employers seek in generative AI candidates in Singapore.

• Strong background in machine learning, natural language processing, computer vision, and LLMs.
• Expertise in prompt engineering and skills in C++, Java, Python, PyTorch, Cloud, SQL, Spark, and MLOps, depending on the position.
• Domain knowledge in segments like healthcare, finance, and media, among other sectors.
• Familiarity with deep learning concepts, CNNs, neural networks, RNNs, and generative models like VAEs and GANs.
• Knowledge of vector databases like Aurora PostgreSQL DB and AlloyDB.
• Proficiency in TensorFlow, Scikit-learn, and other frameworks.
• Soft skills include communication, critical thinking, problem-solving, adaptability, and teamwork.

Also Read: 10 Advanced Generative AI Techniques to Boost Workflow in Today’s In-Demand Careers

How to Start a Career in GenAI in Singapore

You need to focus on the following factors to start a GenAI career in Singapore:

Foundational Skills and Education 

1. Earning Relevant Degrees
2. Mastering Core Technical Skills 

Gaining Practical Experience 

1. Personal Projects 
2. Apprenticeships and/or Internships
3. Open-Source Contributions 
4. Prompt Engineering 

Pursuing Specialized Courses and Certifications 

1. Local Universities 
2. Online Platforms 
3. Government-Recognized Programs 

Staying Updated and Networking 

1. Attending Events 
2. Embracing Lifelong Learning 
3. Developing Soft Skills 

All these factors are essential in different ways as far as helping you start a GenAI career in Singapore is concerned. The most important technical skills that you can develop in this scenario are:

• Programming Languages 
• AI and ML Frameworks
• Data Handling 
• DL Concepts 
• Cloud Platforms 

Local Market Insights for AI Jobs

The following are the most significant insights from Singapore for the AI job market:

Market Demand and Trends

1. Persistent and Strong Demand 
2. Government Investment 
3. High Artificial Intelligence (AI) Exposure 
4. Growth in AI Job Postings 

In-Demand Roles and Skills 

1. Technical Expertise 
2. Specific Roles with High Growth Potential
3. Soft Skills 

Outlook and Challenges 

1. Intensifying Competition 
2. Essentiality of Upskilling 
3. Importance of Adaptation 

Apart from these, AI professionals in Singapore also earn more than professionals in most other fields in the Southeast Asian country. 

All these factors are playing out in different ways. For example, key industries across Singapore have amped up their AI adoption, especially technology and finance.

• The most sought-after generative AI (GenAI) skills in Singapore right now are deep learning, data science, and machine learning. Recruiters also look for candidates who are proficient in frameworks such as TensorFlow and PyTorch. 

• AI is still one of the most lucrative domains in Singapore, with professionals earning much higher than their counterparts in other jobs that do not involve AI.  

Future of GenAI in Singapore (2026-2030)

In the period between 2026 and 2030, GenAI in Singapore is going to witness explosive market growth, significant government-backed talent development, and widespread industry adoption.

• The GenAI market in Singapore will experience significant compound annual growth in this period and be worth billions of dollars by 2030. It is expected that this rapid expansion will generate significant economic benefits for the country. Experts expect that by 2030, AI will boost Singapore’s annual gross domestic product (GDP) growth and deliver substantial gains in labor productivity. 

• GenAI will also be a transformative force across several key industries in Singapore, including financial services, healthcare, and manufacturing and technology. Banks in Singapore are already global leaders in AI adoption. 

• Singapore will also see a surge in demand for skilled AI professionals at this time, but the talent shortage will remain a challenge. 

• It will also maintain a principles-based, flexible regulatory environment that balances public trust and innovation. 

Prepare for Generative AI Roles with upGrad’s Specialized Programs

upGrad offers innovative programs that will help you find attractive opportunities in Singapore. You can equip yourself with the necessary certifications while getting exposure to practical training and hands-on projects. Other perks include mentorship, career support, and flexible learning models.

Several courses prepare you to build a fulfilling career in GenAI in Singapore. Some of the top courses worth considering include:

• Executive Diploma in Data Science and AI with IIIT-B

FAQs on Generative AI Jobs in Singapore