India firms ramp AI hiring
- SAS is shifting more core AI and analytics work to India, with its Pune R&D hub now owning full products instead of support tasks. - India’s broader AI hiring market is still accelerating — one staffing estimate sees AI roles rising 35% to 45% in FY26. - The bigger backdrop is infrastructure: Google and Reliance just unveiled huge Vizag AI data-centre bets, pulling hiring toward foundational AI skills.
India’s AI hiring story is getting more concrete. This is no longer just startups posting flashy GenAI roles or big IT firms talking about pilots. Companies are moving real product ownership, infrastructure, and engineering headcount into India — and that changes the kind of jobs being created. The clearest example right now is SAS, which is turning its India operation into a core AI and analytics engine, not a back office. (financialexpress.com) ### What changed at SAS? SAS has been explicit that India is taking on higher-value work. Its Pune R&D hub now handles end-to-end product ownership, and the company says the site already has more than 1,000 engineers working on AI, analytics, cloud services, and related software. That ma(financialexpress.com) ### Why is that a bigger deal than ordinary hiring? A support center can scale up and down without changing much. A product center is different — it gets roadmap power, architecture work, and harder technical roles. That means more demand for engineers who can build models, data systems, (financialexpress.com)ugh its Data & AI Academy, which tells you the company sees a talent bottleneck, not just a recruiting opportunity. (financialexpress.com) ### Is this just one company? No — the wider market is moving the same way. One recent staffing estimate says AI roles in India could rise 35% to 45% in FY26 even while broader tech hiring stays cautious. The hot jobs are pretty specific: machine-learning engineers, GenAI developers, AI (financialexpress.com)slower, pickier market. (economictimes.indiatimes.com) ### Why are companies hiring for “foundational” skills? Because enterprise AI breaks fast if the plumbing is weak. Firms are learning that a model is the easy part. The hard part is data quality, workflow design, security, deployment, and making sy(economictimes.indiatimes.com)kflow understanding, data skills, and decision-making, not just prompt tricks. (moneycontrol.com) ### Where does infrastructure fit in? This is the other half of the story. In late April 2026, Google advanced its $15 billion India AI hub plan in Visakhapatnam, built around a 1 GW data-center project. Around the same time, Reliance lined up an even larger AI-f(moneycontrol.com)anned, hiring follows — not only for data scientists, but for cloud, chips, networking, power, and platform engineering. (blog.google) ### Why India now? India has the talent scale, but turns out the newer story is talent composition. The country logged the world’s fastest year-on-year growth in AI hiring in 2024 in the Stanford AI Index coverage cited by Indian business media. At the same time, global companies are still expanding In(blog.google)from bulk software hiring. (business-standard.com) ### What’s the catch? There’s still a talent mismatch. Demand is strongest for people who can ship AI into production — especially in MLOps, governance, and domain-heavy enterprise roles. Generalist digital premiums have cooled, but niche AI roles still command outsized pa(business-standard.com)gh ready-made specialists. (economictimes.indiatimes.com) ### Bottom line? India’s AI hiring surge is real, but it is not a broad-based tech boom. It’s a more structural shift — companies are moving product ownership, compute infrastructure, and hard-to-fill AI engineering work into India. That usually lasts longer than a hype cycle. (financialexpress.com)
