How to Build and Train a Saudi AI Team
Saudi Arabia is attempting one of the most ambitious human capital transformations in modern economic history: converting a workforce that was 64% reliant on oil revenue contributions a decade ago into a technology-producing economy by 2030. The $77 billion AI compute buildout is only valuable if there are Saudi engineers, researchers, and operators to use it. Building an AI team in Saudi Arabia today means navigating between genuine local talent development programs, a complex international hiring environment, and compensation dynamics that differ significantly from both Silicon Valley and London benchmarks.
This guide is for technology executives building Saudi AI teams — whether you are leading a multinational expanding into Saudi Arabia, a startup headquartered in Riyadh, or a government entity standing up a new AI capability.
The Policy Context: MCIT’s Digital Workforce Targets
The National Digital Economy and Statistics Center under MCIT has published a target of 300,000 trained technology workers by 2030 as part of Vision 2030’s digital economy pillar. The Saudi Digital Academy, SDAIA training programs, and university curriculum reforms are all calibrated to this target. As of 2025, approximately 90,000–120,000 Saudi nationals have completed technology training programs of varying depth, with the AI-specific cohort considerably smaller.
This means: the local AI talent pool is real and growing, but it is still thin for highly specialized roles (LLM research, CUDA optimization, AI infrastructure engineering). Teams building in Saudi Arabia today will mix Saudi nationals, expatriate talent on Saudi visas, and remote international team members.
Saudization requirements (Nitaqat quotas) require most Saudi private sector companies to maintain minimum percentages of Saudi national employees based on company size and sector. Technology companies in the “Nitaqat high-tech” category must maintain 5–15% Saudi employees depending on company size. Build your hiring plan with Nitaqat compliance from day one — retroactive compliance is costly.
SDAIA AI Training Programs
SDAIA is the most important domestic source of structured AI training in Saudi Arabia. Its programs include:
AI Fellows Program
A competitive 12-month fellowship placing 100–200 Saudi nationals annually in AI roles within government entities and SDAIA-partner private sector companies. Fellows receive:
- SAR 6,000/month stipend during the program
- Structured training in machine learning fundamentals, Python, PyTorch, and applied AI use cases
- Guaranteed government employment pathway upon completion
Recruiting pathway: SDAIA will refer AI Fellows graduates to private sector companies through its talent matching platform. Submit a hiring interest form at ai.gov.sa/programs/fellows. Selection criteria include company Saudization percentage and SDAIA partnership status.
National AI Hub Training Tracks
SDAIA’s National AI Hub (NAIH) runs 8–16 week intensive training tracks in:
- Data Science for Government (Arabic-language instruction, government use cases)
- Machine Learning Engineering (Python, scikit-learn, PyTorch)
- NLP for Arabic (specialized track covering Allam, CAMeL Tools, Arabic corpus processing)
- MLOps and AI Infrastructure (Docker, Kubernetes, cloud AI deployment)
Approximately 2,000–3,000 Saudis complete NAIH tracks annually. These graduates are qualified for junior-to-mid-level data science and ML engineering roles.
SDAIA Certification Program
SDAIA has launched an AI Practitioner certification (aligned to CERTS national framework) that is increasingly recognized by Saudi government procurement requirements. Some government RFPs now require that data science and AI roles on contract teams hold SDAIA certification. Ensure your Saudi AI staff are on track for this certification.
KACST Research Programs
King Abdulaziz City for Science and Technology (KACST) funds AI research programs that can serve as a talent pipeline for private sector companies willing to engage through research partnerships:
- AI Center at KACST: Focuses on Arabic language processing, robotics, and computer vision. Co-funded research projects provide access to graduate student talent.
- Joint Research Agreements: Companies can establish Joint Research Agreements with KACST, receiving access to researchers and lab facilities in exchange for research contributions. Typical cost: SAR 500K–2M/year for a meaningful engagement.
- Saudi-Korean AI Collaboration: KACST has an active collaboration with KAIST (South Korea’s top technical university) producing ML researchers with strong theoretical foundations.
Engaging with KACST is primarily valuable for companies that want deep research talent (PhD-level ML researchers) and can contribute genuinely to research programs. It is not an efficient path for hiring large numbers of practitioners quickly.
Saudi Universities with AI Programs
KAUST (King Abdullah University of Science and Technology)
KAUST is Saudi Arabia’s research flagship — an English-language, internationally-staffed graduate research university in Thuwal (near Jeddah). Its AI and Data Science graduate programs produce PhD and MS graduates who compete with top US and European institutions.
Key AI research groups: Computer Vision group, Computational Bioscience Research Center, Data Science group (Prof. Robert Hoehndorf’s group), and the Extreme Computing Research Center. KAUST’s AI graduates are actively recruited by Google, Meta, NVIDIA, and top Saudi tech entities. Starting salary expectations: SAR 200K–350K/year for MS graduates, SAR 350K–600K for PhD graduates.
Recruiting pathway: KAUST Career Center, industry partnership program, and direct faculty engagement for sponsored research or collaborative hiring.
KFUPM (King Fahd University of Petroleum and Minerals)
Dhahran-based KFUPM is Saudi Arabia’s engineering powerhouse, closely associated with Saudi Aramco and the Eastern Province technology ecosystem. Its Computer Science and Computer Engineering programs have strong AI tracks, particularly in:
- Applied AI for oil and gas (seismic interpretation, predictive maintenance)
- Communications and signal processing with ML applications
- Arabic NLP
KFUPM graduates are heavily recruited by Saudi Aramco, STC, Saudi Telecom, and Ma’aden. Expect strong competition for top graduates. Salaries for fresh KFUPM graduates in AI roles: SAR 100K–150K/year at major Saudi employers.
KSU (King Saud University)
The largest university in Saudi Arabia by enrollment, KSU’s College of Computer and Information Sciences has the country’s largest AI undergraduate pipeline by volume. Quality is more variable than KAUST or KFUPM, but scale is significant — 500+ CS/AI-adjacent graduates annually.
KSU’s AI graduate program is growing rapidly, with new curriculum tracks in machine learning, computer vision, and natural language processing introduced since 2022. For volume hiring of junior Saudi AI talent, KSU is the primary source.
Tuwaiq Academy
Not a university but worth inclusion: Tuwaiq Academy is MCIT’s technical training institution, offering intensive bootcamps in data science, AI, and cloud computing. Graduates enter the market with practical skills (Python, SQL, ML frameworks) after 3–6 month programs. They are appropriate for junior data analyst, ML engineer intern, and AI operations roles.
Visa Pathways for International AI Talent
Saudi Arabia has invested significantly in making international talent acquisition more practical, though it remains more complex than comparable UAE pathways.
Saudi Premium Residency
The Saudi Premium Residency (SPR) is the closest Saudi equivalent to the UAE Golden Visa. It grants:
- Permanent residency (with renewal)
- Right to own property
- No employer sponsorship dependency (unlike the kafala system)
- Family inclusion
Eligibility for AI professionals: Specialized talent track requires demonstrating exceptional expertise in a qualifying field. AI/ML engineering, data science, and computer science are qualifying fields. Application requirements: documentation of credentials, employment history, and financial stability. Application fee: SAR 800,000 ($213K) for permanent SPR; SAR 100,000/year for annual premium residency.
Cost reality check: The SAR 800K permanent SPR fee is prohibitive for most individuals and is primarily used by senior executives, established entrepreneurs, or those with significant personal wealth. The annual SAR 100K option is more accessible for senior AI engineers being recruited by well-funded Saudi entities.
Standard Work Visa (Iqama)
The standard path for international AI talent is employer-sponsored iqama (residency permit). Process:
- Company obtains work visa from Ministry of Human Resources (MHRSD)
- Individual applies at Saudi consulate in home country
- Iqama issued within 30–60 days of arrival and biometric registration
Timeline from offer acceptance to legal working status in Saudi Arabia: 6–12 weeks for straightforward cases. Considerably longer if the role requires security clearance (some government-adjacent AI roles) or if the candidate’s nationality faces additional processing.
Practical note: Saudi visa processing for AI talent from India (a large source of Saudi ML engineers) has improved significantly under bilateral workforce agreements. Processing times from India: 3–5 weeks typical.
Compensation Benchmarks
Saudi AI compensation reflects a market in transition — local talent is more affordable than comparable UAE talent, but international AI talent demands global benchmarks regardless of location.
| Role | Local Saudi Hire | Expat Hire (Saudi-based) | Remote International |
|---|---|---|---|
| Junior ML Engineer (0-3 years) | SAR 80K–150K/yr | SAR 180K–300K/yr | N/A typically |
| Mid ML Engineer (3-6 years) | SAR 150K–280K/yr | SAR 300K–500K/yr | $80K–$150K/yr |
| Senior ML Engineer (6-10 years) | SAR 250K–450K/yr | SAR 500K–800K/yr | $150K–$250K/yr |
| Staff/Principal ML Engineer | SAR 400K–700K/yr | SAR 800K–1.5M/yr | $250K–$400K/yr |
| ML Research Scientist (PhD) | SAR 350K–600K/yr | SAR 700K–1.2M/yr | $200K–$350K/yr |
| AI/ML Director | SAR 600K–1.2M/yr | SAR 1.2M–2.5M/yr | $300K–$600K/yr |
Notes on these figures:
- Saudi compensation is free of income tax (Saudi Arabia has no personal income tax), meaning gross = net for salary
- Expat packages typically include housing allowance (SAR 30K–80K/year), annual flight home, and children’s education allowance
- Equity/options are less common in Saudi than in Silicon Valley; cash compensation is typically higher to compensate
- Government entities and PIF portfolio companies pay at the higher end of these ranges for critical AI roles
Saudi Aramco’s In-House AI Training Model
Saudi Aramco has built one of the most comprehensive in-house AI capability development programs in the GCC, and it offers a template other large organizations can adapt:
Aramco Digital: The technology subsidiary handles Aramco’s AI, cloud, and digital transformation. Aramco Digital employs 2,000+ technology professionals, with a structured career path from analyst through to principal data scientist and AI architect.
Aramco’s AI Academy: Internal training program delivering 80+ hours of structured AI education to non-specialist Aramco employees (operations, HSE, finance). The goal is an “AI-literate” organization where domain experts can collaborate effectively with AI teams. Aramco has trained 15,000+ employees through this program since 2021.
University partnerships: Aramco funds endowed chairs at KAUST and KFUPM, providing early access to top graduates and joint research projects that develop applied AI tools for oil and gas operations.
Key lesson for other organizations: Aramco’s approach separates “AI professionals” (who need deep technical skills) from “AI-enabled professionals” (who need enough literacy to specify AI problems and evaluate outputs). Investing in AI literacy across the business produces a larger payoff per SAR spent than concentrating all investment in specialist hiring.
Retention Challenges
Retaining Saudi AI talent is as challenging as building it. The three primary retention risks:
UAE pull: Dubai and Abu Dhabi offer comparable or higher compensation, more cosmopolitan lifestyle, and (especially for expatriates) a more established expat community. Saudi Arabia has been losing AI talent to UAE for years. Recent improvements in Saudi quality of life (entertainment, cultural openness since 2019) have reduced but not eliminated this differential.
US and UK pull: Saudi nationals who graduate from KAUST or study abroad often receive offers from US tech companies (Meta AI, Google DeepMind, Microsoft Research) that are difficult to match. Companies retaining this talent must offer research visibility, patent opportunities, and international conference access that competes with what US tech companies offer.
Internal government competition: Saudi government entities (SDAIA, KACST, Humain) have been aggressively recruiting AI talent from the private sector, with compensation packages backed by PIF capital that private sector companies struggle to match.
Retention strategies that work:
- Arabic AI impact narrative: framing the work as building Arabic AI capability for the Arab world resonates with Saudi engineers who could earn more abroad
- Research publication opportunities: top Saudi AI engineers want to publish; create pathways to publish at NeurIPS, ICLR, ACL
- Saudi housing market exposure: equity in Saudi real estate (legal for Saudis; housing allowances for expats) creates material local ties
- Clear Saudization-aware career paths: Saudi nationals who see a defined path to senior technical leadership in their home country are more likely to stay
Building a world-class AI team in Saudi Arabia in 2025 is genuinely achievable — the talent is there, the institutions are developing it, the government is investing in it, and the ambition is real. It requires more patience, more institutional engagement, and a more localized approach than comparable team-building efforts in the US or Europe. The payoff is an AI team that understands the Arabic language, the Saudi regulatory environment, and the Vision 2030 opportunity better than any team assembled elsewhere can.