A fresh shift is emerging in India’s IT industry as companies begin increasing onsite deployments once again. However, this time the strategy is different from the traditional onsite model that dominated the sector for years.
Leading IT firms are now focusing on sending highly skilled engineers directly to client locations to help implement and scale artificial intelligence (AI) projects. These professionals are expected to work closely with customers, understand business requirements, solve problems in real time, and ensure faster execution of AI-led initiatives.
The move comes as enterprises worldwide move beyond AI experiments and look for practical deployment across business operations. As a result, technology service providers are being pushed to place more specialized talent at client sites to accelerate project outcomes.
The role, often referred to as a forward-deployed engineer, combines technical expertise with customer engagement. Unlike traditional onsite assignments that mainly supported project delivery, these engineers work as a bridge between clients and development teams, helping transform AI concepts into working solutions.
Industry experts say Indian IT companies have been deploying employees at customer locations for decades. However, the latest demand is centered on AI expertise, making the role more specialized and strategically important than before.
Major technology firms are expanding teams that can work directly with customers as businesses seek deeper integration of AI into daily workflows. Companies are increasingly prioritizing engineers who can quickly understand client challenges, customize solutions, and support implementation on the ground.
The trend is also raising questions around costs and talent availability. As demand for AI-skilled professionals grows, firms are competing to build strong onsite teams while managing expenses and maintaining profitability.
With AI becoming a key growth driver, the return of onsite opportunities reflects a broader transformation in the IT services industry. The focus is no longer just on staffing client locations but on embedding specialized engineers who can deliver measurable business outcomes through AI adoption.
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