
AIM Research’s analysis of the ‘AI Engineer Salary Study – India’ delivers detailed insights into the compensation landscape of AI professionals across the country. The report examines key salary benchmarks based on job roles, experience levels, industry sectors, company types, and major tech cities. It highlights the factors influencing salary growth, regional disparities, and the rising demand for specialized AI talent, offering a comprehensive view of how India’s AI workforce is evolving in response to technological advancements and industry needs.
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India’s artificial intelligence (AI) talent ecosystem continues to evolve rapidly, with compensation trends offering insights into the sector’s maturity, demand, and strategic shifts. According to the insights, salaries for AI professionals in India are shaped by several factors, including job roles, years of experience, industry sectors, company type, and geographic location.
The report provides insights into the compensation across these sections and also highlights the factors on why certain roles are offered substantially higher salaries than other roles. Additionally, it also highlights how certain advanced roles such as AI architects and AI researchers are offered substantial packages, owing to their specialized expertise and strategic value. Moreover, roles such as AI developers and AI consultants have also emerged as high-paying positions, showcasing demand for hands-on AI implementation and advisory capabilities.
Experience plays a crucial role in shaping AI professionals’ compensation, with entry-level salaries significantly lower than those of senior professionals. As individuals advance in their careers, the salary gap widens notably, reflecting the increasing value of technical expertise, strategic acumen, and leadership capabilities. This trend highlights the growing enterprise focus on scaling AI operations, where experienced talent is essential for driving impactful outcomes.
Geographically, Bengaluru remains the most lucrative city for AI professionals, benefiting from its deep-rooted tech ecosystem and dense concentration of AI-driven enterprises. Notably, the study also provides insights on the emergence of niche AI roles such as agentic AI engineers, AI ethics specialists, AI solutions architects, and MLOps engineers, showcasing the growing need for sophisticated system governance, ethical frameworks, and scalable deployment architectures.
1. Executive Summary
2. Introduction
3. Overview of the Types of AI Roles
4. Compensation Benchmarking
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