HCLTech Adds 6,136 Freshers in September Quarter, 15% Enter Elite Engineer Track

⚡ Key Financial Takeaways

HCLTech hired 6,136 fresh graduates in the September quarter, up 1,000 more than the same period a year earlier.

About 15% of new recruits are being funneled into the elite forward‑deployed engineer (FDE) track.

The company is launching a company‑wide FDE academy with training tracks aligned to OpenAI, Anthropic, AWS, Google, Nvidia, and Microsoft.

Advanced AI revenue rose 28.4% sequentially to $219 million in Q2, 78% higher year‑on‑year in constant currency.

HCLTech plans to hire 10,000‑11,000 fresh graduates in FY27, while lateral hires will be made on a need basis.

💡 Why It Matters

The move underscores HCLTech’s commitment to becoming a leading AI services provider. By investing in a large, well‑trained workforce and aligning training with industry‑leading platforms, the company is positioning itself to capture growing demand for AI‑driven solutions across sectors. The 15 % allocation to elite engineers reflects a focus on high‑impact, customer‑centric AI projects that can drive both revenue growth and operational efficiency.

Recruitment Drive HCLTech announced that it added 6,136 fresh graduates during the September quarter, a 1,000‑person increase over the same period a year earlier. The total number of new hires in the first half of FY27 reached roughly 7,200, matching the figure for the corresponding period last year. The IT services firm expects to bring in 10,000‑11,000 freshers in the financial year ending March 2027.

Forward‑Deployed Engineer Focus A key element of the hiring strategy is the forward‑deployed engineer (FDE) capability. Roughly 15 % of the new recruits will be placed in the elite engineer category, a role that combines artificial‑intelligence (AI) engineering with customer‑facing problem solving. Ram Sundararajan, HCLTech’s head of human resources, highlighted the company’s intent to scale this differentiated capability during the Q2 earnings press conference on 12 October.

Training and Partnerships Recognising that fresh graduates are not immediately ready for FDE roles, HCLTech is establishing an enterprise‑wide forward‑deployed engineering academy. Training tracks will be aligned with major AI and cloud platforms, including OpenAI, Anthropic, Amazon Web Services, Google, Nvidia, and Microsoft. The partnership with Microsoft will focus on specialised skills tied to strategic technology platforms.

The company is also investing in applied research, collaborating with the Massachusetts Institute of Technology on the safety of agentic AI systems.

Financial Impact HCLTech’s AI‑centric initiatives are reflected in its financials. Advanced AI revenue reached $219 million in Q2, up 28.4 % sequentially and 78 % year‑on‑year in constant currency terms. CEO C Vijayakumar noted that AI‑related productivity gains are complementing growth in the core services business and newer AI offerings.

Future Outlook With a total employee count of 230,339 as of 30 September (up from 223,889 at the end of June), HCLTech plans to continue lateral recruitment on a need‑basis while maintaining a strong focus on fresh graduate hiring. The forward‑deployed engineering academy and AI research partnerships are positioned to support the firm’s expanding AI services portfolio.

Takeaway HCLTech’s aggressive fresh‑graduate hiring and the launch of a specialised FDE academy signal a strategic push to embed AI across its delivery model, aiming to deliver end‑to‑end AI solutions for enterprises while building a robust talent pipeline for the future.

🏛️ Background & Context

HCLTech has been expanding its AI services business, reporting a 28.4 % sequential rise in Advanced AI revenue in Q2. The company’s strategy of hiring fresh graduates and providing intensive training aligns with industry trends where firms are building internal AI talent to meet rising client demand for end‑to‑end AI solutions.

👁️ What To Watch Next

Investors and industry observers should monitor HCLTech’s FY27 hiring figures, the progress of the forward‑deployed engineering academy, and the impact of its AI research collaborations on product offerings. Upcoming earnings releases will likely detail how the new talent pipeline translates into revenue growth and market share gains in AI services.