Tata Consultancy Services AI plan includes creating a team of up to 8,900 deployment engineers as India’s largest IT services company expands its artificial intelligence business and explores acquisitions in AI, data security and cybersecurity.
Chief Executive K Krithivasan said the company is preparing to build a group of forward-deployed engineers who will work directly with clients on AI implementation. He said these roles could account for 1 percent to 1.5 percent of the company’s workforce.
Based on TCS’s latest headcount of about 594,000 employees, the team could include roughly 5,900 to 8,900 people. The company has not yet decided whether the roles will be filled through external hiring, internal training or a mix of both.
Tata Consultancy Services AI plan focuses on deployment
Tata Consultancy Services AI plan is focused on helping clients move from AI experiments to real business use.
The forward-deployed engineers will work closer to clients, helping them integrate AI tools into existing systems and processes. This work is expected to involve data readiness, workflow changes, software integration and support for enterprise-wide adoption.
The strategy reflects a wider shift in the IT services industry. Many companies are testing AI, but full deployment remains difficult because AI tools must be connected with internal systems, compliance requirements and business operations.
TCS is positioning itself as a partner that can help clients manage that transition. Krithivasan said the company’s knowledge of client systems gives it an advantage in AI deployment.
TCS considers acquisitions in AI and security
TCS is also looking at acquisition opportunities in AI, data security and cybersecurity.
Chief Financial Officer Samir Seksaria said the company is evaluating deals that could strengthen its strategic position. This is notable because TCS has traditionally relied more on organic growth than acquisitions.
The focus on security is closely linked to AI adoption. Companies using AI need stronger safeguards around data access, cyber risk and regulatory compliance. Without secure systems, many clients may be reluctant to expand AI across sensitive business functions.
Targeted acquisitions could help TCS add specialised capabilities more quickly as competition grows in enterprise AI services.
AI revenue growth remains under watch
TCS reported annualised AI revenue of $2.6 billion in the first quarter of fiscal year 2027.
That figure was higher than the previous quarter, although the pace of growth slowed. Krithivasan said he wants AI revenue to grow by about 25 percent quarter-on-quarter over the long term, but cautioned that growth will not be steady every quarter.
The company’s latest results showed quarterly revenue of $7.624 billion and total contract value of $9.5 billion. TCS also said it had signed several AI-led transformation deals.
The figures show that AI is becoming a larger part of the company’s business, but investors are still watching whether it can become a consistent growth driver.
Indian IT services face AI pressure
The Tata Consultancy Services AI plan comes as India’s IT services sector faces pressure from artificial intelligence.
Indian IT companies have traditionally relied on large teams of engineers providing software development, maintenance, consulting and business process services to global clients. AI could automate parts of that work, raising concerns about future demand for routine technology services.
TCS is trying to respond by moving towards AI implementation and integration. The company’s position is that AI may reduce demand for some traditional services, but will also create new demand for deployment, cybersecurity, data management and business transformation.
This makes the forward-deployed engineering plan important. It shows that TCS is preparing for a market where clients need help making AI useful inside their businesses, not just access to AI tools.
Execution will determine success
The success of the Tata Consultancy Services AI plan will depend on execution.
TCS will need to train or hire engineers who can work directly with clients, understand business needs and deploy AI tools in real operating environments. These roles will require technical knowledge, but also strong client-facing and problem-solving skills.
The company will also need to show that its acquisition strategy can add meaningful capability in AI and security without disrupting its existing business model.
For now, the plan signals how TCS intends to respond to AI-led disruption. Rather than treating AI only as a threat to outsourcing, the company is betting that clients will need experienced technology partners to make AI secure, practical and commercially useful.
Published in SouthAsianDesk, July 13, 2026
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