{ "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/saudi-arabia-sa", "canonical": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/saudi-arabia-sa", "headline": "Artificial Intelligence Engineer Salary in Saudi Arabia", "description": "Median Artificial Intelligence Engineer salary in Saudi Arabia is SAR 140.8K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.", "occupation": { "name": "Artificial Intelligence Engineer", "slug": "artificial-intelligence-engineer", "family": null, "soc_code": null, "aliases": [], "description": null }, "location": { "name": "Saudi Arabia", "slug": "saudi-arabia-sa", "type": "country", "iso2": "SA", "currency": "SAR" }, "period": 2026, "confidence": 80, "status": "published", "method": "model", "updated_at": "2026-10-29T19:57:45+00:00", "salary_bands": [ { "level": "entry", "years_experience": [ 0, 2 ], "p10": 58819.92, "p25": 73198.13, "p50": 91497.66, "p75": 106137.28, "p90": 127051.03, "base_share": 95, "bonus_share": 5, "equity_share": 0 }, { "level": "mid", "years_experience": [ 3, 5 ], "p10": 90492.19, "p25": 112612.5, "p50": 140765.63, "p75": 163288.13, "p90": 195463.13, "base_share": 88, "bonus_share": 8, "equity_share": 4 }, { "level": "senior", "years_experience": [ 6, 9 ], "p10": 149312.11, "p25": 185810.63, "p50": 232263.28, "p75": 269425.41, "p90": 322514.16, "base_share": 80, "bonus_share": 10, "equity_share": 10 }, { "level": "executive", "years_experience": [ 10, 15 ], "p10": 253378.13, "p25": 315315, "p50": 394143.75, "p75": 457206.75, "p90": 547296.75, "base_share": 65, "bonus_share": 15, "equity_share": 20 } ], "take_home": { "currency": "SAR", "tax_rate": null, "top_rate": 0, "method": "top_rate_only", "label": "top rate only", "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/saudi-arabia?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc", "retrieved_at": "2026-10-22T00:00:00.000000Z", "verified": true, "notes": "NA", "bands": [ { "level": "entry", "gross": 91497.66, "taxable": null, "tax": null, "effective_rate": null, "net_annual": null, "net_monthly": null, "method": "top_rate_only", "top_rate": 0, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/saudi-arabia?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc", "retrieved_at": "2026-10-22T00:00:00.000000Z", "verified": true, "notes": "NA" }, { "level": "mid", "gross": 140765.63, "taxable": null, "tax": null, "effective_rate": null, "net_annual": null, "net_monthly": null, "method": "top_rate_only", "top_rate": 0, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/saudi-arabia?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc", "retrieved_at": "2026-10-22T00:00:00.000000Z", "verified": true, "notes": "NA" }, { "level": "senior", "gross": 232263.28, "taxable": null, "tax": null, "effective_rate": null, "net_annual": null, "net_monthly": null, "method": "top_rate_only", "top_rate": 0, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/saudi-arabia?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc", "retrieved_at": "2026-10-22T00:00:00.000000Z", "verified": true, "notes": "NA" }, { "level": "executive", "gross": 394143.75, "taxable": null, "tax": null, "effective_rate": null, "net_annual": null, "net_monthly": null, "method": "top_rate_only", "top_rate": 0, "standard_deduction": 0, "rebate": 0, "source": "PwC Worldwide Tax Summaries", "source_url": "https://taxsummaries.pwc.com/saudi-arabia?topicTypeId=35fd5f5e-24ba-48d0-a39a-b76315a497dc", "retrieved_at": "2026-10-22T00:00:00.000000Z", "verified": true, "notes": "NA" } ] }, "outlook": { "direction": "growing", "inflation_pct": 2, "real_growth_pct": 3.5, "forecasts": [ { "year": 2027, "scenario": "base", "p25": 139003.24, "p50": 148507.74, "p75": 158012.23, "confidence": 74, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "conservative", "p25": 137026.89, "p50": 146396.26, "p75": 155765.62, "confidence": 74, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "optimistic", "p25": 140979.59, "p50": 150619.22, "p75": 160258.85, "confidence": 74, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "base", "p25": 153391.74, "p50": 165292.83, "p75": 177193.91, "confidence": 62, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "conservative", "p25": 146941.55, "p50": 158342.19, "p75": 169742.83, "confidence": 62, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "optimistic", "p25": 160027.99, "p50": 172443.95, "p75": 184859.91, "confidence": 62, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "base", "p25": 169257.04, "p50": 183975.05, "p75": 198693.05, "confidence": 50, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "conservative", "p25": 157561.88, "p50": 171262.91, "p75": 184963.95, "confidence": 50, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "optimistic", "p25": 181636.59, "p50": 197431.08, "p75": 213225.56, "confidence": 50, "drivers": [ { "name": "Inflation (CPI)", "note": "2.0% annual price growth", "weight": "high", "direction": "steady" }, { "name": "Wage growth", "note": "3.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "0.0% annual role demand", "weight": "high", "direction": "steady" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "35% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "3.5% after 2.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "5.5% modelled nominal growth", "weight": "high", "direction": "up" } ] } ] }, "skills": [], "sources": [ { "name": "Numbeo / OECD composite (US=100)", "url": null, "type": "market_signal", "tier": "derived" }, { "name": "Open exchange rates (2026)", "url": null, "type": "market_signal", "tier": "official" }, { "name": "World Bank / IMF (2026 est.)", "url": null, "type": "market_signal", "tier": "official" }, { "name": "OECD / national tax tables", "url": null, "type": "market_signal", "tier": "derived" }, { "name": "ILO modelled estimates (2026)", "url": null, "type": "market_signal", "tier": "official" }, { "name": "SpotSalary deterministic wage model", "url": null, "type": "deterministic_model", "tier": "derived" } ], "faqs": [ { "question": "What is the average salary of a Artificial Intelligence Engineer in Saudi Arabia?", "answer": "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." }, { "question": "How much does an entry-level Artificial Intelligence Engineer earn in Saudi Arabia?", "answer": "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." }, { "question": "How much does a senior or executive Artificial Intelligence Engineer earn in Saudi Arabia?", "answer": "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." }, { "question": "What is the salary outlook for a Artificial Intelligence Engineer in Saudi Arabia?", "answer": "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." }, { "question": "How does SpotSalary calculate these salary estimates?", "answer": "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." } ], "related": { "occupation_locations": [ { "headline": "Artificial Intelligence Engineer Salary in Vietnam", "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/vietnam-vn" }, { "headline": "Artificial Intelligence Engineer Salary in Lucknow, India", "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/lucknow-in-1356891790" }, { "headline": "Artificial Intelligence Engineer Salary in Baghdad, Iraq", "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/baghdad-iq-1368596238" } ], "occupation_hub": "https://www.spotsalary.com/occupations/artificial-intelligence-engineer", "location_hub": "https://www.spotsalary.com/locations/saudi-arabia-sa", "all_salaries": "https://www.spotsalary.com/salaries" }, "citation": { "plain": "Artificial Intelligence Engineer Salary in Saudi Arabia. SpotSalary. https://www.spotsalary.com/salary/artificial-intelligence-engineer/saudi-arabia-sa", "updated_at": "2026-10-29T19:57:45+00:00" } }