Posted on
November 8, 2025

AI Jobs in Thailand: Roles, Salaries and How to Break In

Bangkok
Anywhere
Reading time:
3 min

Thailand's AI ecosystem is growing fast, creating new opportunities for engineers, data scientists, product managers and researchers. Whether you're a local professional, an expat, or a remote worker eyeing the Southeast Asia market, this guide explains where AI jobs are concentrated, which skills employers want, and practical steps to land a role in Thailand’s AI scene.

AI jobs in Thailand

The current AI job market in Thailand

Thailand is rapidly adopting AI across finance, e-commerce, healthcare, manufacturing and smart-city initiatives. Both local startups and multinational corporations are hiring to build recommendation systems, automation pipelines, computer vision solutions for manufacturing, and NLP tools for Thai languages. The government and universities are also supporting AI research and talent development, which means more funded projects and academic–industry collaborations. Popular hiring hubs include regional tech clusters and major cities with corporate headquarters and innovation centers.

Top AI roles, in-demand skills, and salary expectations

Common roles include ML Engineer, Data Scientist, Computer Vision Engineer, NLP Engineer, MLOps Engineer, and AI Product Manager. Employers typically look for strong Python skills, experience with TensorFlow or PyTorch, SQL and data engineering fundamentals, model deployment (Docker, Kubernetes), cloud platforms (AWS/GCP/Azure), and domain knowledge relevant to the industry. Soft skills—communication, product thinking and cross-team collaboration—are also valued. Salary ranges vary by experience and company: entry-level AI/data roles often start at roughly 30,000–60,000 THB per month, mid-level roles commonly range 60,000–150,000 THB, and senior or specialized positions can exceed 150,000 THB per month, particularly at international firms or in leadership roles. These are approximate ranges; compensation can include bonuses, equity and benefits.

How to enter the AI job market in Thailand: education, networking and practical steps

To get hired, combine formal education or online coursework with hands-on projects. Good learning paths include university degrees in computer science or data science, specialized bootcamps, and online programs (Coursera, fast.ai, Udacity). Build a portfolio: publish projects on GitHub, compete on Kaggle, and create case studies showing business impact. Network through local meetups, conferences, LinkedIn and industry events to connect with hiring managers and startups. Use Thai job platforms like JobsDB, JobThai, and LinkedIn, and consider recruitment firms specializing in tech. For foreigners, research work permit rules and visa options—Thailand offers initiatives to attract tech talent and startups—while many companies are open to remote or hybrid arrangements. Finally, tailor your CV and portfolio to highlight real-world results (reduced costs, improved accuracy, faster processing times) rather than only academic metrics.

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