AI/ML Engineer postings grew 143% year-over-year in India, the single fastest-growing job title in the country, and globally too, according to a fastest-growing jobs report. Not a rounding error. That’s a role that’s more than doubled in demand in twelve months flat. But the story doesn’t stop at AI, obviously. DevSecOps, product management, data engineering, even ESG-focused roles, they’re all posting growth numbers most job seekers have genuinely never heard quoted out loud.
Here’s a breakdown of the fastest-growing jobs in India right now, what each one actually pays, and the specific skills getting people hired into them.
AI/ML Engineer Is Growing Faster Than Any Other Role in India
AI/ML Engineer postings in India rose 143% YoY, according to LinkedIn’s Jobs on the Rise 2026 report, making it the fastest-growing title tracked in the country, full stop. Mid-level engineers earn roughly ₹18 to 45 LPA, senior AI engineers pull ₹45 to 90 LPA at top firms.
The skill gap here is real, and it’s well documented, not some recruiter’s talking point. India has over 290,000 open AI job postings against a 51% talent gap, meaning demand’s running well ahead of qualified supply, by a wide margin. Google, Microsoft, Amazon’s AWS GCC, Flipkart’s AI unit, all hiring aggressively, and even partial, project-based AI/ML experience tends to stand out given how thin the actual qualified pool is right now.
DevSecOps Engineer Is the Second-Fastest-Growing Role
DevSecOps Engineer postings grew 72% YoY, second only to AI/ML Engineer on LinkedIn’s growth list. This role sits right at the intersection of software development, security, and operations, and it grew out of a fairly simple shift: companies can’t keep treating security like some separate phase bolted onto the end of a release cycle anymore.
Most DevSecOps hires already have DevOps or CI/CD experience under their belt and are stacking security-specific skills on top, container security, vulnerability scanning, compliance automation. If you’re already in DevOps, this is one of the more accessible pivots into a faster-growing, better-paying track, genuinely worth a look.
AI Product Manager Is Growing Nearly as Fast as AI Engineering Itself
AI Product Manager roles grew 67% YoY, showing just how deeply AI’s moved into product strategy rather than staying boxed inside engineering teams. Product managers on AI-specific teams earn ₹20 to 55 LPA at mid-level, ₹50 to 120 LPA at senior or group PM level at top companies.
This role rewards people who get both the technical constraints of AI systems and the actual business case for shipping them, which turns out to be a rarer combination than you’d think. A traditional product management background paired with real, hands-on exposure to how AI models get deployed is currently one of the more underrated combos floating around the Indian job market.
Data Engineering Has Quietly Become One of the Best-Paying Growth Tracks
Data engineering job postings grew 58% YoY, and the role pays ₹18 to 38 LPA at 2 to 5 years experience, well above the national tech median. This growth traces back to a pretty specific mismatch: companies built AI initiatives faster than they built the data infrastructure those initiatives actually need to function.
That gap is the whole opportunity, really. Engineers who can build reliable data pipelines and manage the infrastructure AI systems run on are currently underpriced relative to how essential the role’s become. Already working in backend or infrastructure engineering? Data engineering’s a natural, high-leverage pivot from there.
Cybersecurity Analyst Remains One of the Most Resilient High-Growth Roles
NASSCOM projects demand for 1 million cybersecurity professionals in India over the next decade, and the role’s moved from a purely technical function into something a lot closer to business risk management. As India’s digital footprint outpaces its security infrastructure, breaches now carry real regulatory and reputational consequences, the kind boards are actively scrambling to get ahead of.
Associate-level cybersecurity analysts typically start around ₹6 to 8 LPA, experienced professionals at the AVP or Director level pull ₹30 to 40 LPA. Vulnerability assessment, incident response, compliance-related skills, these show up again and again across postings.
Cloud Solutions Architect Continues to Scale With Digital Transformation
Cloud skills remain one of the top in-demand capabilities in India for 2026, pushed along by continued investment in digital transformation across telecom, biotech, and healthcare. Cloud architects typically climb from supporting infrastructure roles into senior positions managing large, multi-location deployments, and cloud-AI integration work is only speeding that path up further.
This is probably the more dependable long-term bet on this whole list, since cloud infrastructure underpins nearly every other fast-growing role here, AI engineering and data engineering included.
What This Means for Your Career Planning
The common thread across nearly every fast-growing role here isn’t a specific degree. It’s demonstrable, current skill, plain and simple. India’s own employability rate climbed to 56.35% in 2026, according to the India Skills Report 2026, largely because AI adoption and digital fluency have become baseline expectations rather than specialized extras nobody expected you to have. Companies are increasingly hiring for applied skill over credentials alone, which is genuinely good news if you’re willing to build a portfolio instead of waiting around for the “right” degree to open doors that might never open.
You can browse current graduate job openings on Jobvumi to see how many of these fast-growing roles are already being advertised, or check postgraduate listings if you’re targeting more senior-track positions like AI Product Manager or Cloud Architect.
Frequently Asked Questions
What is the fastest-growing job in India in 2026?
AI/ML Engineer, with job postings up 143% year-over-year, making it the fastest-growing role in India and globally, according to LinkedIn’s 2026 data.
Do fastest-growing jobs always pay the most?
Not always, but there’s strong overlap. AI/ML Engineering, AI Product Management, and Data Engineering all combine high growth with salaries well above the national tech median.
Do I need a specific degree to get into these roles?
Not necessarily. Many companies now prioritize demonstrable skills, certifications, and project portfolios over specific degrees, especially in AI, cloud, and cybersecurity roles.
Is cybersecurity still a good career choice in 2026?
Yes. NASSCOM projects sustained demand for cybersecurity professionals over the next decade, and the role has grown more strategic and business-critical rather than less relevant.
Which fast-growing role is easiest to break into from a non-technical background?
AI Product Manager tends to be the most accessible for people with a business or strategy background who build technical fluency in how AI systems are actually deployed.
Where can I find current openings in these fast-growing fields?
Check current graduate and postgraduate job listings on Jobvumi to see live postings across these roles.
