India’s GCC workforce is adapting to GenAI adoption with new orchestration, governance, and technical roles

GenAI roles reshape India’s GCC workforce in 2025

Kathakali Dutta
3 Min Read

India’s global capability centres are developing new GenAI focused job roles as organisations expand agentic AI systems across their operations. According to EY GCC Pulse Report the shift reflects a broader move toward specialised orchestration, governance and multi agent workflows inside these centres.

How the new system works

GCCs are assembling teams that support GenAI operations beyond traditional function based roles. Data quality curators, knowledge managers and multi modal interaction designers are now essential to maintain reliable datasets and design voice, visual and AR experiences. Companies are hiring GenAI product owners and AI agent orchestrators to coordinate multi agent tasks that support daily business functions.

Governance responsibilities are also growing, with roles such as AI governance architects and compliance auditors overseeing model behaviour and regulatory adherence. Technical and safety focused positions including AgentOps managers, model reliability engineers, LLM SREs, red team specialists and privacy engineers are increasing in demand.

Impact on GCC operations

Industry leaders state that these roles highlight how GenAI now runs across most organisational functions. Many GCCs are shifting from cost based setups to tech led centres of excellence. Employees with backgrounds in enterprise architecture, automation, data science and API based systems are being retrained for GenAI responsibilities as intelligent automation replaces older rule based processes.

Human and agent orchestration is now a core function, with workers guiding, validating and retraining agentic systems rather than replacing existing roles.

More than half of India’s GCCs now share responsibility for global decision making, and others are regularly consulted on strategy. Some centres fully manage select global functions from India. Early adoption of agentic AI is showing faster payback cycles, often within 1.5 years and sometimes under one year.

GCCs with active GenAI programmes report building several solutions, while others continue to test pilots and POCs. Many centres have also introduced structured skilling journeys with RAG sandboxes, agent building projects, KPI linked validations and cross functional squads applying GenAI to live tasks.

What comes next for gen AI roles

GCCs are moving toward fully integrated AI roles across departments. The next stage includes scaling orchestration, expanding multi agent use and deepening workforce upskilling to support GenAI led operations.

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