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India Faces Shortage of Skilled Professionals for AI Agent Development

May 13, 2025•Himanshi Lohchab•Original Link•2 minutes
AI Talent
Agentic AI
Tech Jobs

As AI agents revolutionize automation, India experiences a boom in specialized job roles to train and deploy these systems, highlighting a critical talent gap.

Large IT firms and global capability centers are scrambling to fill roles in agentic AI, with positions like agent ops, agent architect, prompt engineer, and agent trainer in high demand. Traditional tech roles such as process designers, data specialists, and NLP/ML programmers are also being adapted for this emerging field, according to Jaideep Kewalramani of TeamLease Edtech.

Talent Gap and Salary Trends

  • Shortage: Fewer than 100,000 professionals currently exist in India, but demand is projected to double to 200,000 by 2026 (per BCG, Everest Group, and Adecco).
  • Salaries:
    • Entry-level: ₹3–18 lakh/year
    • Mid-level: ₹10–45 lakh/year
    • Senior roles: ₹40+ lakh/year, with top talent earning a 100% premium.

Global Hiring Trends

Recruitment firm Deel reports rising contracts for agentic AI roles, with India, Argentina, Brazil, Colombia, and the UK leading hiring. IBM is expanding its talent pool beyond metros to cities like Gandhinagar, Bhubaneswar, and Coimbatore, focusing on roles like:

  • Experience designers
  • Prompt engineers
  • Automation architects

Market Growth and Industry Impact

  • Projections: The AI agent market is expected to grow from $5.1B (2024) to $47.1B by 2030 (Nasscom).
  • Adoption: Over 60% of Indian enterprises are piloting or deploying AI agents, led by BFSI, telecom, and IT services.
  • Productivity: McKinsey estimates AI agents could save 70% of employee time on routine tasks and boost productivity by 30–40% in sectors like software development and HR.

Key Challenges

  • Skill Requirements: Full-stack AI architects must bridge technical expertise with multi-disciplinary understanding (Capgemini).
  • Data-Centric Shift: Enterprises are prioritizing data-driven operations, with AI agents autonomously making decisions (Findability Sciences).

ET logo

External Links:

  • Agentic AI
  • Agent Ops
  • Prompt Engineer

Related News

August 26, 2025•Isaac Sacolick

Key Strategies to Mitigate Risks in AI Agent Deployment

Organizations must adopt a disciplined approach to deploying AI agents, focusing on security, data governance, and quality assurance to avoid risks and ensure success.

AI Governance
Data Security
Agentic AI
August 26, 2025•Sean McManus

Preventing rogue AI agents from causing harm

Agentic AI is making decisions and taking actions for users, but safeguards are needed to prevent misuse and errors.

AI Security
Agentic AI
AI Risks

About the Author

David Chen

David Chen

AI Startup Analyst

Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.

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Startup Analysis
Venture Capital
Market Research
Business Models
Experience
11 years
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200+
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