GCCs shift towards mid-career AI talent, leaner teams | India Business News

Rather than scaling through proportional headcount growth, GCCs are expected to increasingly rely on AI-enabled execution, with employees focusing on AI orchestration, solution architecture, validation, governance and complex business problem-solving.

Bengaluru: India’s global capability centres (GCCs) are shifting from the traditional model of large teams of junior engineers to leaner engineering pods, with three to five professionals supported by 50–100 AI agents, according to an ANSR and T500 Research report.The traditional GCC workforce has typically followed a pyramid structure, with a broad base of junior engineers supporting a smaller layer of senior architects and leaders. The emerging model is expected to have a narrower entry-level base, a larger concentration of mid-level AI-enabled engineers and a stronger leadership layer.Rather than scaling through proportional headcount growth, GCCs are expected to increasingly rely on AI-enabled execution, with employees focusing on AI orchestration, solution architecture, validation, governance and complex business problem-solving. Hiring is also shifting from individual roles to outcome-oriented pods and multidisciplinary squads that can be deployed rapidly for product development, AI adoption and business transformation.The report describes this as “Workforce 2.0”, in which the unit of workforce planning shifts from the employee seat to the capability. The traditional pyramid gives way to a diamond-shaped structure, with greater talent density in mid- to senior-level problem-solving roles. Success is increasingly measured by enterprise value generated per professional rather than the number of employees added.The shift is already reflected in hiring patterns. An analysis of more than 5,000 live openings and over 20,000 roles hired by GCCs in the past year found that about 62% of hiring was concentrated among professionals with three to eight years of experience, with median experience at six years. GCCs are increasingly seeking professionals who can become productive quickly and bring a combination of technical and domain expertise.AI skills are also attracting a significant compensation premium. The report’s salary analysis puts annual pay for AI/ML engineers at $30,000–$50,000 at the engineer level, $45,000–$90,000 for senior professionals and $150,000–$200,000-plus for lead/principal roles.Forward-deployed engineers, who combine engineering, domain and customer-facing capabilities, command similarly high compensation, ranging from $40,000–$90,000 for engineers, $100,000–$110,000 for senior professionals and $150,000–$200,000-plus for lead/principal roles. Cloud, DevOps, SRE and platform engineering are also attracting premiums as GCCs build infrastructure for AI and data platforms.GCC hiring grew about 12–15% year-on-year in the first half of 2026, significantly faster than the broader IT/ITeS sector, according to the report. Demand for AI-related roles rose about 45% year-on-year, while nearly 65% of new positions now require AI skills.The report said GCC expansion is therefore becoming less about adding headcount and more about increasing capability density. Centres are hiring fewer but more senior and specialised professionals, while combining strategic core employees with flex talent such as contractors, specialist partners, build-operate-transfer teams and AI agents.“FY26 data is the decoupling of value growth from people growth,” the report said, adding that organisations are prioritising redeployment and AI-led productivity over linear headcount addition. “Hiring has not stopped; it has changed shape.”