AI Engineer salary in 2026 averages about ₹10 lakh a year according to Glassdoor’s July 2026 data. Most people doing this work earn quite a bit more or quite a bit less than that. A fresher at an IT services firm might start near ₹6 LPA. An engineer who builds production LLM systems at a Bengaluru product company can earn five or six times that.
The main reason for the gap isn’t your degree or years of experience. It’s whether you can take a model from a notebook into production, and which area of AI you specialise in. Demand is also well ahead of supply. AI job postings in India were projected to rise from about 2.9 lakh in 2025 to 3.82 lakh in 2026.
| AI Engineer Pay 2026 | Figure |
| Glassdoor average (July 2026) | ~₹10 LPA (typical range ₹6.6–17.2 LPA) |
| AmbitionBox reported range | ₹3.5–30 LPA |
| Fresher, IT services | ~₹6–9 LPA |
| Fresher, product company (with GenAI projects) | ~₹8–12 LPA |
| Mid-level (3–6 years) | ~₹12–30 LPA |
| Senior / specialist | ₹30–60 LPA+ |
| GenAI / LLM specialisation premium | ~20–40% over generalist ML |
Three Different Jobs Under One Title
Job listings use “AI Engineer” for at least three kinds of work, and they’re paid differently:
- Machine Learning Engineer: builds and trains classical ML and deep learning models for prediction, recommendation, fraud detection, and vision tasks. This is the core AI role, but it’s increasingly seen as the baseline.
- GenAI / LLM Application Engineer: builds products on top of large language models, including RAG pipelines, AI agents, fine-tuning, and evaluation. This is the highest-paid specialisation in 2026, because experienced people are hard to find and companies see results quickly.
- MLOps / AI Platform Engineer: deploys, monitors, retrains, and scales models in production. It’s often overlooked, but it pays well because production reliability is exactly where many AI projects fail.
Several salary guides estimate that GenAI and MLOps specialists earn 25–45% more than generalist AI engineers with the same experience.
Where Freshers Start
The difference between employer types is large at entry level:
- IT services firms: about ₹6–9 LPA for AI tracks. Some large firms also run specialist hiring. In December 2025, Infosys was reported to be offering up to ₹21 LPA for certain entry-level AI and specialist roles.
- Product companies and funded startups: about ₹8–12 LPA or more, mainly for candidates with deployed GenAI projects, not just certificates.
- GCCs and global tech firms: often above these ranges, with stock grants on top.
Several recruiters say a single end-to-end project, such as a deployed RAG app or a model with monitoring, counts for more than several online courses.
Monthly In-Hand at Three Career Stages
These estimates assume basic pay at 50% of gross salary (the labour code minimum), PF on the ₹15,000 ceiling, and the new tax regime. Variable pay and stock grants are excluded from monthly figures, because they don’t arrive every month.
| Fresher, ₹8 LPA | AI specialist, ₹21 LPA (10% variable) | Senior, ₹35 LPA (15% variable) | |
| Fixed monthly CTC (₹) | 66,667 | 1,57,500 | 2,47,917 |
| Gross salary (₹) | ~63,340 | ~1,52,040 | ~2,40,340 |
| Employee PF + professional tax (₹) | 2,000 | 2,000 | 2,000 |
| Income tax (₹, approx.) | 0 | ~13,000 | ~36,600 |
| Approx. in-hand (₹) | ~61,340 | ~1,37,040 | ~2,01,700 |
Tax Increases Quickly at Higher Salaries
A fresher on ₹8 LPA pays no income tax, because taxable income stays under the new regime’s ₹12 lakh rebate limit. At ₹35 LPA, the 30% slab applies to income above ₹24 lakh, so about 15% of gross pay goes to tax each month. Variable pay and stock vesting are taxed on top of that when they’re paid out.
Two ways to reduce this legally:
- Employer NPS contribution. Under the new regime, up to 14% of basic pay is deductible from taxable income. On a basic of about ₹1.2 lakh a month, that can save more than ₹40,000 a year.
- Plan for RSU tax. RSUs are taxed as salary when they vest, and the TDS withheld may not cover your full tax. Keep money aside so you aren’t caught short when you file.
What’s in a Typical AI Engineer Package
- Fixed pay: basic pay (at least 50% of wages under the labour codes), HRA, and special allowance.
- Variable or performance bonus: usually 10–20% of CTC at mid and senior levels.
- RSUs or ESOPs: a large share of pay at big tech firms and funded startups, typically vesting over about four years.
- Joining and retention bonuses: common when companies hire AI talent away from competitors. Joining bonuses are often clawed back if you leave within a year.
- Learning and conference budgets: frequent in AI teams, where tools change every few months.
Why AI Pay Keeps Rising
The main reason is the gap between demand and supply. NASSCOM estimates India will need close to 1 million AI-skilled professionals by 2027, compared with a trained pool of about 5–6.5 lakh. As long as that gap lasts, companies compete for people by offering more pay, not just by changing job titles.
Remote work adds to this. Some senior AI engineers in Indian cities work for overseas companies at pay levels well above domestic averages. Those based in lower-cost cities like Jaipur, Indore, or Coimbatore keep more of what they earn.
Skills That Pay the Most in 2026
- Production deployment: containerised serving, monitoring, and rollback, which moves you beyond notebook-only work
- RAG and agentic systems: retrieval pipelines, tool-calling agents, and evaluation frameworks
- LLM fine-tuning and LLMOps: efficient training, inference optimisation, and cost control
- Cloud ML platforms: hands-on experience with at least one major provider
- Strong Python and software engineering basics: companies are increasingly screening out candidates who can use AI tools but can’t write solid code
FAQs
Q1. What is an AI engineer’s salary per month in 2026?
A. An AI engineer earning ₹8 LPA may take home around ₹61,000 per month. A specialist earning ₹21 LPA may receive approximately ₹1.37 lakh per month after tax, while a senior engineer on ₹35 LPA may take home around ₹2 lakh per month. Actual in-hand salary varies with salary structure, deductions, bonuses, and taxes.
Q2. What is the starting salary of an AI engineer in India?
A. Starting salaries are typically around ₹6–9 LPA at IT services companies and ₹8–12 LPA at product companies for candidates with strong skills and deployed GenAI projects. Some specialised AI roles can offer significantly higher packages.
Q3. Do GenAI engineers earn more than ML engineers?
A. Often, yes. Salary guides indicate that GenAI and LLM engineers can command a premium of around 20–40% over generalist ML engineers with comparable experience, particularly where employers need specialised skills that are in short supply.
Q4. Is an AI engineer’s salary taxable?
A. Yes. An AI engineer’s salary is subject to Indian income-tax rules. The actual tax liability depends on taxable income, the applicable tax regime, deductions, bonuses, RSUs, and other components of compensation.
Q5. Which companies pay AI engineers the most in India?
A. Global technology companies, leading Global Capability Centres (GCCs), and well-funded AI-first startups generally offer some of the highest AI engineering salaries in India. For specialised roles, compensation can be substantially higher than packages offered by traditional IT services companies at similar experience levels.
