What AI and data engineers cost in India in 2026

AI engineer salaries in India in 2026 run from about ₹8 lakh a year in fixed pay at entry level to more than ₹1 crore for the most senior architects at Global Capability Centres (GCCs). TeamLease Digital puts median fixed pay at GCCs at ₹13.2 lakh per annum (LPA) for generative AI engineers with 0–2 years' experience and ₹10.8 LPA for data scientists at the same level, rising to as much as ₹108.6 LPA for AI architects with more than 15 years (Telangana Today citing TeamLease Digital, Oct 2026). Its earlier data showed GCC AI/ML engineers ranging from ₹8.2 LPA at entry to ₹43 LPA at eight or more years (YourStory citing TeamLease Digital, Oct 2025).

Pay is rising faster than the wider market. Aon expects GCC salaries to rise 9.4% in 2027 after 9.3% in 2026 (Aon, Oct 2026), while Zinnov recorded average increments of 21.1% for AI/ML roles at GCCs in FY26 against 9.8% overall (Zinnov, 2026). This post sets out sourced pay bands by role and experience, then turns them into a budget.

Where these numbers come from

There is no single neutral salary survey for AI and data roles in India. The figures below come from consultancies (Aon, Mercer, Zinnov), staffing firms (TeamLease Digital, Quess) and job-market publishers, most of whom sell hiring or advisory services. Treat them as indicative.

Two things to watch when comparing numbers. First, "median fixed pay" is not the same as a range, and neither includes variable pay or employer costs. Second, salary aggregator and edtech blogs publish AI engineer ranges that differ from each other by two times or more, often without sources, so we have left them out.

Salary bands by role and experience

For comparison with general software roles: AIM Research puts the GCC median at ₹18.4 LPA (AIM Research, 2026), and Taggd puts entry-level GCC pay at ₹6–12 LPA in Tier-1 cities and ₹5–9 LPA in Tier-2 (Taggd, 2026). A Bengaluru software engineer with 3–5 years earns ₹14–22 LPA at a GCC against ₹9–15 LPA at an IT services firm, according to one pay calculator (GCC Journal, 2026).

Generative AI and LLM engineers

Generative AI engineers start higher than data scientists at the same experience level in the TeamLease data. TeamLease also reports that pay for "AI-core" roles starts at 2.5–3 times that of "AI-support" roles (Telangana Today citing TeamLease Digital, Oct 2026). Demand is steepest for engineers who can build agentic systems; see agentic AI engineers in India for what that role involves.

Data scientists and ML engineers

The data science track has a long runway, from ₹10.8 LPA median at entry to as much as ₹92.8 LPA for principal data scientists at GCCs. The AI/ML engineer band of ₹8.2–43 LPA is from FY25 data, so expect current offers to sit higher after two years of increments. Naukri found recruiter demand for AI talent rising in the ₹40–49 lakh and ₹50 lakh-plus brackets in 2026, with AI hiring growing fastest at 13 to 16 or more years of experience (Telangana Today citing Naukri, Jul 2026).

Data engineers and MLOps engineers

We did not find a reliable, primary-sourced salary band by experience for MLOps engineers or data engineers alone, so we are not publishing one. The Databricks and Snowflake ranges above come from a vendor blog and cover one experience band.

What the data does show is direction. TeamLease Digital reports a three-year salary growth rate above 18% a year for AI, MLOps and cloud roles, 17% for data engineering and 20% for cybersecurity (ThePrint citing TeamLease Digital, Aug 2025). Supply is tight too: Quess reportedly puts the MLOps supply gap at 68% (StartupFeed citing Quess, Jun 2026). Benchmark these roles against live offers when you hire, and read our guides to hiring data engineers and building an MLOps and LLMOps team.

Increments in 2026 and 2027

Aon and TeamLease Digital disagree on the 2026 GCC figure (9.3% against 10.4%); they survey different employers. Aon's survey covers more than 1,200 organizations.

The sector gap matters if you are hiring against established centres. In Aon's data, GCC increments run 2.7 points above IT services in 2026 (9.3% against 6.6%). Engineers moving from IT services firms will usually compare your offer with what GCCs in their city pay, so a new centre hiring AI talent should benchmark against GCC pay from the first offer.

Increments for AI roles run well above these averages. Zinnov's FY26 data shows average increments at GCCs of 21.1% for AI/ML, 20.0% for cybersecurity and 16.1% for cloud, against 9.8% for all GCC roles (Zinnov, 2026). If you set a single increment budget across an India team, your AI and data staff will fall behind the market within a year or two.

Skill premiums

Every major source reports a premium for AI and data skills, but the size varies:

• TeamLease Digital says AI, ML, cyber and cloud skills carry a 30–40% pay premium at GCCs (Telangana Today, Oct 2026).
• Mercer puts the premium for niche digital skills at 30–50% (YourStory citing Mercer, Dec 2025).
• Aon says premiums for AI, ML and data science talent rose about 10% compared with 2025 (Aon, Oct 2026).

The premium follows scarcity. Quess reports a 70–80% shortage for AI governance specialists, AI architects and prompt engineers, about two to three qualified candidates per ten roles (Business Today citing Quess, Jul 2026). Our post on AI and data skills in demand in India covers the hiring data behind that.

From salary to a fully loaded budget

Fixed salary is only part of what an engineer costs. A full budget also carries variable pay, employer social-security contributions and gratuity, benefits, workspace, equipment, recruitment and management overhead. One provider of employer-of-record and BOT services puts the fully loaded cost of an engineer in India at US$25,000–80,000 a year (Wisemonk, Oct 2026); treat that as an indicative vendor figure. Our GCC setup cost guide breaks down the rest.

India's four labour codes took effect on 21 November 2025 (Lakshmikumaran & Sridharan, 2025) and change the wage definition used for social security and gratuity. Check how your pay structure interacts with that definition before you fix offer templates; see GCC employee transfer under the labour codes.

Attrition is the other cost. Estimates differ by definition: Aon puts India attrition at 18% in 2026 (Aon, Oct 2026), Zinnov puts GCC attrition at about 16% (Zinnov, 2026), and EY's survey found GCC attrition at 9% in 2025 (EY, Nov 2025). For scarce AI roles, budget for the higher end and for replacement hiring.

Does a Tier-2 city save money?

Somewhat, though less for AI work. JLL estimates Tier-2 savings at 10–35% in one release (JLL, Feb 2026) and 25–50% in another publication (JLL, 2026). But Quess finds 87–88% of advanced-skill GCC hiring still happening in Tier-1 metros (CXOToday citing Quess, Nov 2026). Senior AI engineers are concentrated in the big cities, so a Tier-2 saving may come with a longer hiring timeline. Our city comparison covers the trade-offs.

How to use these numbers

Budget with ranges. Take the TeamLease medians as a floor for GCC-grade AI hiring at junior levels, and expect senior offers for proven production experience to sit well above the FY25 ranges.

Set a separate increment track for AI and data roles. The gap between 21.1% and 9.8% in Zinnov's data is too large to absorb in a single company-wide budget.

Grow juniors as well as hiring seniors. With entry-level generative AI pay at ₹13.2 LPA median and architect pay above ₹1 crore, a team that pairs a few experienced leads with trained graduates costs far less than one built entirely from senior hires.

Decide early who employs the team. In a Build-Operate-Transfer (BOT) arrangement, a partner hires and runs the team at an agreed fee, then moves it to your own entity; see how BOT works for GCCs.

How Onfocus can help

Onfocus recruits and runs engineering teams for clients in fintech, banking and Web3, and runs a graduate training program that prepares early-career engineers for client work. We design and build data science and ML, generative AI and data engineering systems; the AI and data page explains how. If you are budgeting an India AI team, talk to us about your plan.

Frequently asked questions

What is the salary of an AI engineer in India in 2026?

TeamLease Digital puts median fixed pay for generative AI engineers with 0–2 years at GCCs at ₹13.2 lakh per annum. AI architects with more than 15 years can reach ₹108.6 lakh at GCCs.

How much do AI salaries in India rise each year?

Aon expects GCC increments of 9.3% in 2026 and 9.4% in 2027. Zinnov recorded much higher average increments of 21.1% for AI/ML roles at GCCs in FY26.

What premium do AI skills command in India?

TeamLease Digital reports a 30–40% premium for AI, ML, cyber and cloud skills at GCCs, and Mercer puts the premium for niche digital skills at 30–50%.

What do MLOps and data engineers earn in India?

We found no reliable, primary-sourced salary band by experience for those roles alone. Vendor data puts Databricks engineers with 4–6 years at ₹28–42 lakh, so benchmark against live offers.

Is salary the full cost of an engineer in India?

No. A budget also needs variable pay, employer social-security contributions, gratuity, benefits, workspace, recruitment and management, plus the cost of attrition.