Search salaries Artificial Intelligence Engineer · Saudi Arabia Change
Country · SAR · 2026
80% confidence

Artificial Intelligence Engineer Salary in Saudi Arabia

Updated Oct 29, 2026 Forecast 1 hour ago Growing outlook

Your earning potential as a Artificial Intelligence Engineer in Saudi Arabia

In Saudi Arabia, pay for this role varies with experience, company and the responsibilities you take on.

Estimated mid-level pay centres around SAR 140.8K a year — about SAR 11,730 a month before tax.

The benchmark spans SAR 73.2K at entry level to SAR 457.2K at executive level annually. Compare the experience breakdown below with roles similar to yours.

Market outlook: Growing (estimate). There is limited evidence to explain the outlook for this role in this location. Local outlook evidence is limited; this estimate is a guide to potential demand, rather than a prediction of hiring or pay growth. Your next step will also depend on the skills and responsibilities required by the roles you pursue.

Mid-level equivalent: ≈ $37,538/year ($3,128/month) at 3.75 SAR/USD.

2026 estimates · Modelled benchmark; direct salary observations are limited.

Benchmark

Salary by experience level

percentiles · annual SAR
Level Experience P25 Median P75 P10 – P90
entry 0–2 yrs SAR 73.2K SAR 91.5K
≈ $24,399
SAR 106.1K SAR 58.8K – SAR 127.1K
mid 3–5 yrs SAR 112.6K SAR 140.8K
≈ $37,538
SAR 163.3K SAR 90.5K – SAR 195.5K
senior 6–9 yrs SAR 185.8K SAR 232.3K
≈ $61,937
SAR 269.4K SAR 149.3K – SAR 322.5K
executive 10–15 yrs SAR 315.3K SAR 394.1K
≈ $105,105
SAR 457.2K SAR 253.4K – SAR 547.3K
entry
SAR 91.5K
≈ $24,399/yr
Base 95% · Bonus 5% · Equity 0%
mid
SAR 140.8K
≈ $37,538/yr
Base 88% · Bonus 8% · Equity 4%
senior
SAR 232.3K
≈ $61,937/yr
Base 80% · Bonus 10% · Equity 10%
executive
SAR 394.1K
≈ $105,105/yr
Base 65% · Bonus 15% · Equity 20%
Outlook

Five-year salary trend

history + scenario bands
History Forecast median Optimistic / conservative Real (inflation-adjusted)
2027 · base scenario
SAR 148.5K
≈ $39,602/yr
+5.5% nominal vs today · +3.5% real/yr · 74% conf.
2029 · base scenario
SAR 165.3K
≈ $44,078/yr
+17.4% nominal vs today · +3.5% real/yr · 62% conf.
2031 · base scenario
SAR 184K
≈ $49,060/yr
+30.7% nominal vs today · +3.5% real/yr · 50% conf.
Drivers

What moves this number

market signals
Inflation (CPI)
→ · 2.0% annual price growth
Wage growth
↑ · 3.5% nominal wage trend
Role demand trend
→ · 0.0% annual role demand
Hiring demand
↑ · Demand index 58/100
Automation exposure
→ · 35% exposure
Real wage growth
↑ · 3.5% after 2.0% inflation
Scenario growth
↑ · 5.5% modelled nominal growth
Take-home

What lands in your account

top rate only · 0.0% top marginal
LevelGrossTaxEffectiveNet annualNet monthly
entry SAR 91.5K Not enough bracket data for a take-home estimate
mid SAR 140.8K Not enough bracket data for a take-home estimate
senior SAR 232.3K Not enough bracket data for a take-home estimate
executive SAR 394.1K Not enough bracket data for a take-home estimate

Only the top marginal rate (0.0%) is known. It is not applied flat, because that would overstate tax at lower incomes. Add verified brackets to enable a take-home estimate. Social contributions and local levies are not included.

Housing costs

What renting costs in Saudi Arabia

Rent varies by city. Choose a city to compare housing costs.

Negotiation

What to ask for

mid-level band
Walk-away
SAR 140.8K
median
Target
SAR 163.3K
75th percentile
Anchor
SAR 171.5K
target + 5%
Script

Based on market data for Artificial Intelligence Engineer in Saudi Arabia, the median is SAR 140.8K and the 75th percentile is SAR 163.3K. I am targeting SAR 171.5K, which reflects my experience and the scope of the role.

Also negotiable sign-on bonus, equity, remote or hybrid flexibility, learning budget and additional leave

Relocation

Same pay, elsewhere

purchasing-power equivalent
Afghanistan $42.7K equivalent · CoL 100
Albania $42.7K equivalent · CoL 100
Algeria $42.7K equivalent · CoL 100
American Samoa $42.7K equivalent · CoL 100
Andorra $42.7K equivalent · CoL 100
Angola $42.7K equivalent · CoL 100

Equivalent salary needed to keep the same purchasing power, from imported cost-of-living indices and FX. Compare more in the relocation tool.

Geo comparison

Artificial Intelligence Engineer in other places

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Same place

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Common questions

Artificial Intelligence Engineer salary in Saudi Arabia — FAQ

What is the average salary of a Artificial Intelligence Engineer in Saudi Arabia?

SpotSalary models a median annual salary of SAR 140.8K for a Artificial Intelligence Engineer in Saudi Arabia, or about SAR 11,730 per month before tax. The middle 50% of the estimate ranges from SAR 112.6K to SAR 163.3K, with a full P10–P90 range of SAR 90.5K to SAR 195.5K. This is a modelled estimate, not a job offer.

How much does an entry-level Artificial Intelligence Engineer earn in Saudi Arabia?

The entry-level band for a Artificial Intelligence Engineer in Saudi Arabia centres on SAR 91.5K per year (P25–P75: SAR 73.2K–SAR 106.1K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities.

How much does a senior or executive Artificial Intelligence Engineer earn in Saudi Arabia?

The executive band for a Artificial Intelligence Engineer in Saudi Arabia has a median of SAR 394.1K per year and a P75 of SAR 457.2K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level.

What is the salary outlook for a Artificial Intelligence Engineer in Saudi Arabia?

The outlook is growing. In the base scenario, median pay reaches SAR 184K by 2031, about 30.7% above today before inflation and 3.5% per year in real terms after 2.0% inflation. Scenario bands widen over time and are not guarantees.

How does SpotSalary calculate these salary estimates?

Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 80% confidence.

Sources & method

What this benchmark is built on

80% confidence

SpotSalary anchors each estimate to external market signals, then synthesises the gap with AI. Deterministic validation rejects implausible outputs. Source names and data tiers are listed here; the full methodology is on the method page.

  • Numbeo / OECD composite (US=100) · derived data
  • Open exchange rates (2026) · official data
  • World Bank / IMF (2026 est.) · official data
  • OECD / national tax tables · derived data
  • ILO modelled estimates (2026) · official data
  • SpotSalary deterministic wage model · derived data
Your turn

What should you ask for?

Add your experience, current salary and skills to get a personal market value, your percentile, and a gap analysis — tracked over time.

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Method

Benchmarks are constrained by market signals and validated for plausibility. Forecasts use inflation, wage growth, demand and automation, with scenario bands that widen over time.

Read how the estimate is built or download this report as Markdown / JSON.