The question of where to build an enterprise AI development team has a new, increasingly clear answer: Vietnam. The combination of graduate output scale, technical depth, competitive compensation structure, and growing English proficiency is attracting global technology companies at a pace that is reshaping Hanoi and Ho Chi Minh City's technology ecosystems.
Vietnam produces approximately 57,000 ICT graduates annually from 153 universities and colleges offering technology programmes. This supply is growing at 9% per year. The quality, while variable, has improved significantly — driven by industry partnerships between major universities (HUST, VNU-HCM, RMIT Vietnam) and global technology companies that have established local offices.
The Compensation Advantage
The economics of Vietnamese tech talent remain compelling relative to alternatives. Mid-senior software engineers in Vietnam earn $2,500–4,500/month in total compensation for most roles, rising to $5,000–8,000 for AI/ML specialists with 3+ years of relevant experience. Compare this to:
- Singapore: $5,500–9,000/month for equivalent roles
- India (Bangalore): $3,000–5,500/month
- Eastern Europe (Poland/Romania): $4,000–7,000/month
- US (remote): $10,000–18,000/month
The Vietnam-Singapore cost differential is particularly relevant for regional enterprises. A five-person AI development team based in Ho Chi Minh City costs roughly the same as two equivalent hires in Singapore — making Vietnam the natural location for scaling engineering capacity while maintaining a Singapore presence for client-facing and senior leadership roles.
Which Global Companies Are Building Here
The roster of global technology companies with significant engineering presence in Vietnam has grown substantially. Bosch, Siemens, Fujitsu, and NTT Data all operate development centres in Ho Chi Minh City employing 500–2,000 engineers. In the AI space, NTT Data's Vietnam AI Centre (established 2024) employs 380 ML engineers and data scientists working on industrial AI applications for Japanese manufacturing clients.
KMS Technology, FPT Software, and Nashtech — Vietnam's largest software outsourcing companies — are all expanding AI practice areas rapidly, recruiting aggressively for ML engineers, MLOps specialists, and AI application developers. The existence of these mature delivery organisations means companies can engage with experienced teams without building from scratch.
The AI Talent Specifically
The most significant shift in Vietnam's tech talent profile over the past 24 months is the growth of genuine AI/ML expertise. In 2023, experienced ML engineers in Vietnam were rare enough that most companies were training generalist developers in-house. In 2026, the situation has changed substantially:
- Vietnam AI/ML job postings grew 340% between 2023 and 2025 (LinkedIn data)
- Google, Microsoft, and AWS all offer localised ML certification programmes in Vietnam with strong take-up
- Kaggle data shows Vietnamese participants in ML competitions growing at 40% YoY, with several teams placing in top 10% globally
- University curriculum upgrades: HUST and VNU-HCM now both offer dedicated AI specialisation tracks with industry advisory boards
What to Look for When Hiring
For enterprises evaluating Vietnam for AI development, the talent quality signals that matter most are practical rather than credential-based. Strong candidates in Vietnam's AI market typically demonstrate:
- GitHub portfolio with production-quality ML code (not just notebooks)
- Familiarity with MLOps tooling: MLflow, DVC, Weights & Biases, and at least one cloud ML platform
- Experience with deployment beyond model training — FastAPI, Docker, Kubernetes, and serving infrastructure
- English communication sufficient for daily collaboration with international teams (B2 level is the practical minimum)
TechNext's own team is built primarily in Vietnam, and the quality of engineering output from our Hanoi and Ho Chi Minh City colleagues consistently matches what we see from Singapore-based teams. The talent is here. The companies that are building in Vietnam now are positioning themselves to scale AI capability at a cost structure that will be a competitive advantage for years.