Driving an AI-Ready Workforce: Infosys’ Approach to AI Hiring

As AI technology becomes central to business operations, the way organizations hire, train, and empower their workforce is rapidly evolving. Infosys, a global leader in digital services, is at the forefront of this change, focusing on skilling its workforce for AI and redefining the future of AI hiring within enterprises.

Transforming Talent for the AI Era

Preparing a workforce of over 325,000 employees for the AI age is a major transformation journey, not just a training exercise. Infosys has already enabled 84% of its workforce with AI capabilities, demonstrating a significant commitment to integrating AI across its talent base. The company’s strategy involves structured reskilling pathways tailored to different roles, enabling individuals to become AI-enabled professionals, AI builders, or AI masters.

Infosys leverages platforms like Lex—a digital learning solution—paired with real-world client engagement projects. This combination helps employees apply new AI skills to tangible business problems, resulting in a more competent and confident workforce. The company’s Assessment Centre of Excellence plays a critical role in this process by evaluating employee proficiency, identifying skill gaps, and providing personalized learning journeys to ensure ongoing development.

AI Augments, Not Replaces: The Human-Centric Approach

Rather than measuring progress by the number of AI agents relative to employees, Infosys emphasizes that AI should serve to enhance human potential. The adoption of AI is focused on automating repetitive tasks, improving productivity, and supporting decision-making. This allows employees to dedicate more time to tasks that require creativity, domain expertise, and nuanced judgment—areas where human value is irreplaceable.

As AI agents become more autonomous and deeply woven into enterprise processes, Infosys underscores the increasing importance of human accountability. Ensuring sustainable AI adoption depends on employees perceiving AI as a capability enhancer, not a threat to their roles.

AI Hiring: Skills and Fundamentals in Focus

The rise of AI has only amplified the need for strong engineering skills among new hires. Infosys continues to prioritize candidates with deep engineering fundamentals, continuous learning ability, and strong problem-solving skills. Alongside technical strengths, familiarity with AI, data science, cloud computing, cybersecurity, and software engineering is highly valued.

Equally important are domain understanding, adaptability, teamwork, and communication, as technology is expected to solve increasingly complex business challenges. Infosys has introduced specialist programmer roles at the entry level, designed for candidates with advanced engineering expertise. These roles come with competitive compensation—up to Rs 21 lakh per annum—demonstrating the company’s commitment to attracting top engineering talent. In the past year alone, more than 20,000 graduates joined Infosys, many in such specialist roles.

Building Forward Deployed Engineering Talent

AI is enabling the emergence of new roles that merge engineering expertise, domain knowledge, and direct client engagement. “Forward Deployed Engineers” work at the intersection of these disciplines, translating advanced technology into practical solutions for clients.

Employees who possess a strong engineering foundation, AI skills, and industry-specific knowledge are well-placed to move into these pivotal roles. Infosys supports this transition through structured learning, ongoing skill assessments, and hands-on client experiences. The company is investing heavily in developing a robust pool of advanced engineering talent to support enterprise-scale AI initiatives.

Responsible AI: Governance and Human Oversight

Infosys has embedded agentic AI across its delivery ecosystems, with applications spanning productivity enhancement, accelerated software engineering, recruitment processes, onboarding, and employee learning. The company’s approach to AI deployment is guided by its “Responsible by Design” framework, which ensures that human oversight, security measures, and enterprise governance controls are embedded across the lifecycle of AI agents.

This holistic governance model ensures that intelligent systems complement, rather than override, human judgment and enterprise context. Responsible governance, combined with engineering expertise and contextual awareness, is seen as the foundation for deriving long-term value from AI adoption.

The Future of AI Hiring: Combining Talent and Technology

Infosys’ journey showcases how integrating AI hiring practices with robust human expertise and responsible governance can prepare organizations for the future of work. The company’s multi-pronged strategy—focusing on skills development, responsible use of AI, and continuous talent reinvention—serves as a blueprint for enterprises navigating the evolving landscape of HR technology.

By placing a premium on both technology and human strengths, Infosys exemplifies how businesses can thrive in an AI-driven world while maintaining human accountability at the core of their talent strategy.