Hiring for AI engineering roles in India has grown 59.5% year‑on‑year, making the country the fastest‑growing market for AI‑engineering talent among major global economies, according to LinkedIn’s AI Labor Market Report 2026. The data shows demand for AI professionals accelerating not only in traditional hubs such as Bengaluru but also across Tier‑II and Tier‑III cities, signalling a broader geographic and structural reshaping of India’s AI‑driven workforce.
Bengaluru remains the largest AI‑engineering hub, with about 3.0% of its LinkedIn members classified as AI engineers, a share roughly on par with San Francisco. However, the national growth rate of 59.5% outpaces Bengaluru’s own 52.3% year‑on‑year hiring increase, indicating that AI‑engineering opportunities are now spreading well beyond the city’s core tech ecosystem.
Rise of Tier‑II and Emerging Cities
The report highlights strong growth in cities such as Hyderabad, where AI‑engineering hiring rose 51% year‑on‑year, and Vijayawada, which recorded a 45.5% increase in AI‑engineering recruitment. These figures suggest that companies are increasingly comfortable tapping AI‑rich talent pools in smaller urban centres that offer lower costs, strong graduate‑level supplies, and improving digital infrastructure.
LinkedIn notes that AI‑related hiring momentum is also being driven by a decentralisation of teams and the rise of remote‑ and hybrid‑work models, which allow firms to build AI‑engineering workforces that span multiple geographies while retaining access to core metro‑based R&D clusters. The data collectively points to a shift from “single‑hub AI” to a more distributed AI‑engineering landscape across India.
AI Adoption Across Industries and Roles
LinkedIn’s analysis shows that AI‑engineering demand is being fuelled by rapid adoption of AI across organisations of all sizes. Large enterprises continue to employ the largest share of AI talent, investing in infrastructure, governance, and large‑scale deployment, while smaller and mid‑sized businesses are moving quickly from experimentation into production‑grade AI use.
The manufacturing sector is emerging as a notable growth area for AI‑engineering roles, with AI‑engineering talent in manufacturing expanding fourfold between 2022 and 2025, reaching about 2% of the segment’s workforce. The report also flags rising demand for applied‑AI skills such as AI agents, AI‑productivity tools, data‑driven AI‑implementation, and deployment‑focused AI engineering, underscoring that employers are prioritising engineers who can move AI from concept to real‑world workflows.
