India’s technology job market is undergoing a sharp shift as enterprises expand AI adoption, with demand for agentic AI engineers rising 260% in 2026 compared with 2025, while routine technology tasks face growing automation, according to an analysis by CIEL HR.
Agentic AI engineers recorded the highest growth among emerging technology roles tracked by CIEL HR. Demand for GenAI solutions architects and AI product owners increased 120% each, while demand for LLM engineers and MLOps engineers rose 86.5% and 82.2%, respectively.
At the same time, AI is taking over a significant share of workloads in several routine technology functions. According to CIEL HR, AI can handle up to 70% of workloads involved in ticket resolution and report generation, while AI can potentially handle as much as 65% of test case creation.
This puts technology support, reporting and manual quality assurance among the functions facing the highest potential for task-level automation, although human involvement remains necessary for the remaining workload.
“AI is changing the value attached to different technology skills. We are seeing routine activities become increasingly automated, while demand is growing for people who can build, integrate and govern AI in real business environments. The opportunity for organisations is to look at this as a workforce transition, identifying where technology can take on repetitive work while building the skills needed for the next phase of growth,” said Aditya Narayan Mishra, MD & CEO, CIEL HR.
The shift in technology hiring is also pushing organisations to strengthen internal talent pipelines, with generative AI engineering, AI/ML, cloud engineering, cloud transformation, cybersecurity, data engineering and automation emerging as key capability areas.
CIEL HR estimates that skill gaps across AI, cloud and cybersecurity currently range between 38% and 61%, increasing pressure on companies to develop talent internally alongside external hiring.
IT services companies are responding with AI-focused training, role-based reskilling, cloud academies, hyperscaler certification programmes, enterprise AI initiatives and structured early-career programmes. Existing delivery, infrastructure, support and engineering employees are increasingly being moved into these programmes to build capabilities aligned with changing demand.
“The workforce transition is not going to happen through hiring alone. Organisations will need to look at how existing talent can move into emerging skill areas as the nature of technology work changes. Reskilling and redeployment can help bridge some of the gap between the skills organisations have today and those they will need tomorrow,” said Arjun Gupta, Founder & CEO, Courseplay.
The analysis draws on more than 450 million job postings, 30 million professional profiles and 10,000 mapped skills. It covers observed job-posting data from March 2024 to May 2026, with forward-looking projections based on current hiring patterns, technology adoption, company hiring signals and sector growth expectations.
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