Every article about AI’s disruption of Indian IT eventually gestures at “a pay premium for AI skills” without putting numbers next to it. The numbers, when you actually line them up, tell a more specific story than the general claim suggests: the AI premium isn’t a flat markup across career stages – it’s largest for the newest workers, and it’s really a gap between two different employment tracks (traditional IT services vs. product/GCC/AI-specialist work) as much as it’s a gap between skill sets.
The baseline: what a traditional software engineer earns
According to OwnYourCareer’s live 2026 salary tracking, a software engineer at a traditional IT services firm earns ₹3.5-6 lakh per year at entry level (0-2 years), rising to ₹6.5-14 lakh at mid-level (roughly 4 years), and ₹25-40 lakh at senior levels (6+ years) as a general benchmark. PayScale’s independent survey data puts the broader market median software developer salary at roughly ₹7.16 lakh, with entry-level (under 1 year) averaging ₹4.83 lakh and a 10th-to-90th percentile range spanning ₹2.89 lakh to ₹20 lakh – consistent with OwnYourCareer’s services-tier figures once you account for PayScale blending services and product-company respondents together.
The AI/ML track, by the same experience bands
By contrast, ML engineer compensation in the same market starts at ₹10-18 lakh at entry level (0-2 years), climbs to ₹18-28 lakh at 2-4 years, ₹28-42 lakh at 4-6 years, ₹42-65 lakh at 6-8 years, and ₹65 lakh to over ₹1.2 crore at the principal level (8+ years). “AI Engineer” roles specifically – a related but distinct track – span roughly ₹8-65+ lakh across levels, with slightly lower ceilings than pure ML roles but faster year-over-year demand growth (roughly +59% vs. +28%, per the same source).
Where the gap is actually widest
Put the two side by side and the premium is not evenly distributed. At entry level, an IT-services software engineer earning ₹3.5-6 lakh sits well below an entry-level ML engineer’s ₹10-18 lakh – roughly a 2-3x gap. That gap narrows considerably once you compare against product/GCC-tier software engineering roles rather than IT-services roles specifically: OwnYourCareer’s own data shows entry-level product and GCC software engineers already earning ₹8-25 lakh, which overlaps substantially with the ML engineer entry band. In other words, a meaningful share of the “AI premium” is really a “not-traditional-IT-services premium” – AI/ML roles happen to sit almost entirely outside the traditional services model, so they inherit the pay structure of product and GCC employers generally, not just an AI-specific markup on top of it.
The premium that is genuinely AI-specific
That said, a real AI-specific premium does persist even against the product/GCC baseline, and it shows up most clearly at the senior end: ML/AI principal-level compensation reaching ₹65 lakh to over ₹1.2 crore, concentrated at FAANG-style Global Capability Centers, exceeds what a generalist senior software engineer typically commands even at the top of the product-company range (₹25-80 lakh, tier-dependent, per OwnYourCareer). Zinnov’s GCC-specific compensation research reinforces this from a different angle, reporting that niche in-demand skills – which in 2026 means AI/ML, cloud, and cybersecurity specialization – command 1.7x higher salary hikes than standard roles in the same job title, and that lateral moves into these specializations are now outpacing new hiring for them, meaning employers are bidding for existing AI talent rather than only training new entrants.
What this means if you’re deciding where to specialize
The practical read: the single biggest jump available to an engineer isn’t necessarily “learn AI” in isolation – it’s “leave the traditional IT-services pay structure,” and AI/ML specialization happens to be the most in-demand way to do that right now. For someone already at a product company or GCC, the additional AI-specific premium is real but more incremental – meaningful at senior levels, less dramatic at entry level where product-company pay is already close to AI-track pay regardless of specialization.
Checking current listings
Because these figures move with each hiring cycle, Chuno is a useful way to sanity-check current postings directly – it indexes live Indian job openings with dedicated filters for software engineering, data, and AI/ML roles, making it possible to compare what’s actually being advertised for a given title and city against the aggregate figures cited here.
Sources:
OwnYourCareer – Software Engineer Salary India 2026
OwnYourCareer – ML Engineer Career India 2026
PayScale – Average Software Developer Salary in India
Zinnov – Salary, Attrition & Hiring Trends: An India GCC View 2026
