{ "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/lahore-pk-1586801463", "canonical": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/lahore-pk-1586801463", "headline": "Artificial Intelligence Engineer Salary in Lahore, Pakistan", "description": "Median Artificial Intelligence Engineer salary in Lahore, Pakistan is ₨13.6M 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": "Lahore, Pakistan", "slug": "lahore-pk-1586801463", "type": "city", "iso2": "PK", "currency": "PKR" }, "period": 2026, "confidence": 85, "status": "published", "method": "research", "updated_at": "2026-10-29T22:22:32+00:00", "salary_bands": [ { "level": "entry", "years_experience": [ 0, 2 ], "p10": 6196660.69, "p25": 7524516.56, "p50": 8852372.42, "p75": 10180228.28, "p90": 11950702.77, "base_share": 95, "bonus_share": 5, "equity_share": 0 }, { "level": "mid", "years_experience": [ 3, 5 ], "p10": 4766662.08, "p25": 4766662.08, "p50": 13619034.49, "p75": 21073940.94, "p90": 35212541.89, "base_share": 88, "bonus_share": 8, "equity_share": 4 }, { "level": "senior", "years_experience": [ 6, 9 ], "p10": 10084154.42, "p25": 12245044.65, "p50": 14405934.88, "p75": 16566825.11, "p90": 19448012.09, "base_share": 80, "bonus_share": 10, "equity_share": 10 }, { "level": "executive", "years_experience": [ 10, 15 ], "p10": 17350109.03, "p25": 21067989.54, "p50": 24785870.04, "p75": 28503750.55, "p90": 33460924.56, "base_share": 65, "bonus_share": 15, "equity_share": 20 } ], "take_home": { "currency": "PKR", "tax_rate": 28.986357839086434, "top_rate": null, "method": "progressive", "label": "progressive brackets", "standard_deduction": 0, "rebate": 0, "source": "FBR (Finance Act 2025, salaried)", "source_url": "https://www.fbr.gov.pk/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "Salaried slabs; 0% up to PKR 600,000; 35% only above PKR 4,100,000", "bands": [ { "level": "entry", "gross": 8852372.42, "taxable": 8852372.42, "tax": 2279330.347, "effective_rate": 25.748242830931417, "net_annual": 6573042.073, "net_monthly": 547753.5060833333, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "FBR (Finance Act 2025, salaried)", "source_url": "https://www.fbr.gov.pk/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "Salaried slabs; 0% up to PKR 600,000; 35% only above PKR 4,100,000" }, { "level": "mid", "gross": 13619034.49, "taxable": 13619034.49, "tax": 3947662.0715, "effective_rate": 28.986357839086434, "net_annual": 9671372.4185, "net_monthly": 805947.7015416668, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "FBR (Finance Act 2025, salaried)", "source_url": "https://www.fbr.gov.pk/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "Salaried slabs; 0% up to PKR 600,000; 35% only above PKR 4,100,000" }, { "level": "senior", "gross": 14405934.88, "taxable": 14405934.88, "tax": 4223077.208000001, "effective_rate": 29.31484310582973, "net_annual": 10182857.672, "net_monthly": 848571.4726666667, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "FBR (Finance Act 2025, salaried)", "source_url": "https://www.fbr.gov.pk/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "Salaried slabs; 0% up to PKR 600,000; 35% only above PKR 4,100,000" }, { "level": "executive", "gross": 24785870.04, "taxable": 24785870.04, "tax": 7856054.5139999995, "effective_rate": 31.695697997777444, "net_annual": 16929815.526, "net_monthly": 1410817.9605, "method": "progressive", "top_rate": null, "standard_deduction": 0, "rebate": 0, "source": "FBR (Finance Act 2025, salaried)", "source_url": "https://www.fbr.gov.pk/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "Salaried slabs; 0% up to PKR 600,000; 35% only above PKR 4,100,000" } ] }, "outlook": { "direction": "growing", "inflation_pct": 7, "real_growth_pct": 12, "forecasts": [ { "year": 2027, "scenario": "base", "p25": 14149632.07, "p50": 15117128.28, "p75": 16084624.49, "confidence": 79, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "conservative", "p25": 13958420.83, "p50": 14912842.77, "p75": 15867264.7, "confidence": 79, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "optimistic", "p25": 14340843.32, "p50": 15321413.8, "p75": 16301984.28, "confidence": 79, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "base", "p25": 17284755.17, "p50": 18625813.76, "p75": 19966872.35, "confidence": 67, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "conservative", "p25": 16593448.56, "p50": 17880871.3, "p75": 19168294.03, "confidence": 67, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "optimistic", "p25": 17995000.51, "p50": 19391164.34, "p75": 20787328.17, "confidence": 67, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "base", "p25": 21112955.92, "p50": 22948865.13, "p75": 24784774.34, "confidence": 55, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "conservative", "p25": 19724442.77, "p50": 21439611.71, "p75": 23154780.64, "confidence": 55, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "optimistic", "p25": 22578586.98, "p50": 24541942.37, "p75": 26505297.76, "confidence": 55, "drivers": [ { "name": "Inflation (CPI)", "note": "7.0% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "8.0% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "9.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 58/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "25% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.0% after 7.0% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "11.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "11.0% expected annual salary growth", "weight": "high", "direction": "up" } ] } ] }, "skills": [], "sources": [ { "name": "pk.indeed.com", "url": "https://pk.indeed.com/career/ai%2Fml-engineer/salaries/Lahore-Johar-Town?campaignid=serp-more&fromjk=7bc8884958acbe69&from=serp-more", "type": "salary_observation", "tier": "reported" }, { "name": "www.glassdoor.com", "url": "https://www.glassdoor.com/job-listing/ai-developer-iget-solutions-pvt-ltd-JV_KO0,12_KE13,35.htm?jl=1009956641693", "type": "salary_observation", "tier": "reported" }, { "name": "www.payscale.com", "url": "https://www.payscale.com/research/PK/Job=Artificial_Intelligence_Software_Engineer/Salary/b577eed5/Artificial-Intelligence-AI", "type": "salary_observation", "tier": "reported" }, { "name": "www.salaryexpert.com", "url": "https://www.salaryexpert.com/salary/job/ai-engineer/pakistan/lahore", "type": "salary_observation", "tier": "reported" } ], "faqs": [ { "question": "What is the average salary of a Artificial Intelligence Engineer in Lahore, Pakistan?", "answer": "SpotSalary models a median annual salary of ₨13.6M for a Artificial Intelligence Engineer in Lahore, Pakistan, or about ₨1,134,920 per month before tax. The middle 50% of the estimate ranges from ₨4.8M to ₨21.1M, with a full P10–P90 range of ₨4.8M to ₨35.2M. This is a modelled estimate, not a job offer." }, { "question": "How much does an entry-level Artificial Intelligence Engineer earn in Lahore, Pakistan?", "answer": "The entry-level band for a Artificial Intelligence Engineer in Lahore, Pakistan centres on ₨8.9M per year (P25–P75: ₨7.5M–₨10.2M). 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 Lahore, Pakistan?", "answer": "The executive band for a Artificial Intelligence Engineer in Lahore, Pakistan has a median of ₨24.8M per year and a P75 of ₨28.5M. 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 Lahore, Pakistan?", "answer": "The outlook is growing. In the base scenario, median pay reaches ₨22.9M by 2031, about 68.5% above today before inflation and 12.0% per year in real terms after 7.0% inflation. Scenario bands widen over time and are not guarantees." }, { "question": "What is the take-home pay for a Artificial Intelligence Engineer in Lahore, Pakistan?", "answer": "After an effective income tax rate of 29.0%, the mid-level Artificial Intelligence Engineer in Lahore, Pakistan takes home about ₨9,671,372 per year, or ₨805,948 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies." }, { "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 85% confidence and draws on 10 salary observations." } ], "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 Saudi Arabia", "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/saudi-arabia-sa" }, { "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/lahore-pk-1586801463", "all_salaries": "https://www.spotsalary.com/salaries" }, "citation": { "plain": "Artificial Intelligence Engineer Salary in Lahore, Pakistan. SpotSalary. https://www.spotsalary.com/salary/artificial-intelligence-engineer/lahore-pk-1586801463", "updated_at": "2026-10-29T22:22:32+00:00" } }