{ "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/lucknow-in-1356891790", "canonical": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/lucknow-in-1356891790", "headline": "Artificial Intelligence Engineer Salary in Lucknow, India", "description": "Median Artificial Intelligence Engineer salary in Lucknow, India is ₹11.4L 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": "Lucknow, India", "slug": "lucknow-in-1356891790", "type": "city", "iso2": "IN", "currency": "INR" }, "period": 2026, "confidence": 85, "status": "published", "method": "research", "updated_at": "2026-10-29T19:38:39+00:00", "salary_bands": [ { "level": "entry", "years_experience": [ 0, 2 ], "p10": 610000, "p25": 854433.17, "p50": 1073678.95, "p75": 1121503.92, "p90": 1160617, "base_share": 95, "bonus_share": 5, "equity_share": 0 }, { "level": "mid", "years_experience": [ 3, 5 ], "p10": 719575.68, "p25": 1072892.42, "p50": 1143176.64, "p75": 1799853.4, "p90": 1799853.4, "base_share": 88, "bonus_share": 8, "equity_share": 4 }, { "level": "senior", "years_experience": [ 6, 9 ], "p10": 660184.51, "p25": 1214694.47, "p50": 1886241.46, "p75": 1984795.86, "p90": 2078922.52, "base_share": 80, "bonus_share": 10, "equity_share": 10 }, { "level": "executive", "years_experience": [ 10, 15 ], "p10": 2152631.44, "p25": 2613909.6, "p50": 3075187.76, "p75": 3536465.93, "p90": 4151503.48, "base_share": 65, "bonus_share": 15, "equity_share": 20 } ], "take_home": { "currency": "INR", "tax_rate": 0, "top_rate": null, "method": "progressive", "label": "progressive brackets", "standard_deduction": 75000, "rebate": 46817.66399999999, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled", "bands": [ { "level": "entry", "gross": 1073678.95, "taxable": 998678.95, "tax": 0, "effective_rate": 0, "net_annual": 1073678.95, "net_monthly": 89473.24583333333, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 39867.895, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" }, { "level": "mid", "gross": 1143176.64, "taxable": 1068176.64, "tax": 0, "effective_rate": 0, "net_annual": 1143176.64, "net_monthly": 95264.71999999999, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 46817.66399999999, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" }, { "level": "senior", "gross": 1886241.46, "taxable": 1811241.46, "tax": 162248.292, "effective_rate": 8.601671389409498, "net_annual": 1723993.168, "net_monthly": 143666.09733333334, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 0, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" }, { "level": "executive", "gross": 3075187.76, "taxable": 3000187.76, "tax": 480056.3279999999, "effective_rate": 15.610634714545037, "net_annual": 2595131.432, "net_monthly": 216260.95266666668, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 0, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" } ] }, "outlook": { "direction": "growing", "inflation_pct": 4.5, "real_growth_pct": 14.45, "forecasts": [ { "year": 2027, "scenario": "base", "p25": 1166314.54, "p50": 1246062.54, "p75": 1325810.54, "confidence": 79, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "conservative", "p25": 1150264.34, "p50": 1228914.89, "p75": 1307565.44, "confidence": 79, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "optimistic", "p25": 1182364.74, "p50": 1263210.19, "p75": 1344055.64, "confidence": 79, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "base", "p25": 1373854.72, "p50": 1480446.9, "p75": 1587039.08, "confidence": 67, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "conservative", "p25": 1317912.9, "p50": 1420164.77, "p75": 1522416.63, "confidence": 67, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "optimistic", "p25": 1431357.61, "p50": 1542411.22, "p75": 1653464.83, "confidence": 67, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "base", "p25": 1618205.45, "p50": 1758918.96, "p75": 1899632.48, "confidence": 55, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "conservative", "p25": 1509883.68, "p50": 1641177.91, "p75": 1772472.14, "confidence": 55, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "optimistic", "p25": 1732656.85, "p50": 1883322.66, "p75": 2033988.47, "confidence": 55, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "8.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "45% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "4.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "9.0% modelled nominal growth", "weight": "high", "direction": "up" }, { "name": "Researched salary growth", "note": "9.0% expected annual salary growth", "weight": "high", "direction": "up" } ] } ] }, "skills": [], "sources": [ { "name": "in.indeed.com", "url": "https://in.indeed.com/career/ai%2Fml-engineer/salaries/Lucknow--Uttar-Pradesh?campaignid=serp-more&fromjk=cd84deb2ccf60964&from=serp-more", "type": "salary_observation", "tier": "reported" }, { "name": "www.ambitionbox.com", "url": "https://www.ambitionbox.com/salaries/ibm-salaries/artificial-intelligence-engineer/lucknow-location#1", "type": "salary_observation", "tier": "reported" }, { "name": "www.glassdoor.com", "url": "https://www.glassdoor.com/Salaries/india-machine-learning-and-ai-engineer-salary-SRCH_IL.0,5_IN115_KO6,38.htm#1", "type": "salary_observation", "tier": "reported" }, { "name": "www.payscale.com", "url": "https://www.payscale.com/compensation-trends/ai-engineer-hiring", "type": "salary_observation", "tier": "reported" }, { "name": "www.salary.com", "url": "https://www.salary.com/research/in/ai-engineer-salary#1", "type": "salary_observation", "tier": "reported" } ], "faqs": [ { "question": "What is the average salary of a Artificial Intelligence Engineer in Lucknow, India?", "answer": "SpotSalary models a median annual salary of ₹11.4L for a Artificial Intelligence Engineer in Lucknow, India, or about ₹95,265 per month before tax. The middle 50% of the estimate ranges from ₹10.7L to ₹18L, with a full P10–P90 range of ₹7.2L to ₹18L. This is a modelled estimate, not a job offer." }, { "question": "How much does an entry-level Artificial Intelligence Engineer earn in Lucknow, India?", "answer": "The entry-level band for a Artificial Intelligence Engineer in Lucknow, India centres on ₹10.7L per year (P25–P75: ₹8.5L–₹11.2L). 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 Lucknow, India?", "answer": "The executive band for a Artificial Intelligence Engineer in Lucknow, India has a median of ₹30.8L per year and a P75 of ₹35.4L. 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 Lucknow, India?", "answer": "The outlook is growing. In the base scenario, median pay reaches ₹17.6L by 2031, about 53.9% above today before inflation and 14.5% per year in real terms after 4.5% inflation. Scenario bands widen over time and are not guarantees." }, { "question": "What is the take-home pay for a Artificial Intelligence Engineer in Lucknow, India?", "answer": "After an effective income tax rate of 0.0%, the mid-level Artificial Intelligence Engineer in Lucknow, India takes home about ₹1,143,177 per year, or ₹95,265 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 25 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 Lahore, Pakistan", "url": "https://www.spotsalary.com/salary/artificial-intelligence-engineer/lahore-pk-1586801463" }, { "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/lucknow-in-1356891790", "all_salaries": "https://www.spotsalary.com/salaries" }, "citation": { "plain": "Artificial Intelligence Engineer Salary in Lucknow, India. SpotSalary. https://www.spotsalary.com/salary/artificial-intelligence-engineer/lucknow-in-1356891790", "updated_at": "2026-10-29T19:38:39+00:00" } }