Cognizant invests in Agentic AI, to add 1,000 context engineers by 2026

IT company Cognizant on Thursday announced an initiative to deploy 1,000 context engineers over the next year, partnering with enterprise IT company Workfabric AI, to industrialise agentic AI solutions across enterprises. The initiative leverages Workfabric AI's ContextFabric platform, which transforms organisational DNA into actionable context for AI agents.

"Cognizant’s commitment, starting with 1,000 context engineers, signals the future of the services industry," said Rohan N. Murty, CEO of Workfabric AI. "ContextFabric will amplify this vision, enabling engineers to deliver trusted, enterprise-grade outcomes. Our platform has demonstrated significant improvements in accuracy, hallucination reduction, deployment speed, and ROI. 

The platform has demonstrated significant improvements in enterprise deployments, including up to 3X higher accuracy, 70% fewer hallucinations, faster deployment cycles, and higher ROI. Context engineers will capture enterprise knowledge, manage context lifecycles, build integration pipelines, and create industry-specific solutions while ensuring governance, privacy, and security.

Cognizant defines context as a company's knowledge base, encompassing its operating model, roles, goals, metrics, processes, policies, and governance systems. It reveals how people collaborate, use tools, leverage data, navigate constraints, and maintain compliance to achieve targeted outcomes. Crucially, context embodies a company’s collective learning from past decisions, driving continuous improvement and adaptation.

These skills will be developed across Cognizant’s service lines through targeted training and integrated with Cognizant’s Agentic Development Lifecycle (ADLC). This approach ensures holistic context management, enabling AI Agents to operate effectively, securely, and at scale, accelerating time-to-value and enhancing solution quality.

"Every technology shift creates a services shift," said Ravi Kumar S, CEO of Cognizant. "In the microprocessor era, it was code. In the cloud era, workload migration. In the LLM era, it's context. Cognizant's expertise allows us to create unique value. By training context engineers and equipping them with ContextFabric, we're helping clients move towards scalable AI adoption."

Notably, Kumar made the 2025 TIME 100 AI list for his AI leadership. Under him, Cognizant pledged $1B to enterprise AI and is skilling 1M people via Synapse. He launched a record-setting AI hackathon and the Bluebolt program, generating over 500K AI use case ideas.

In July, Cognizant reported impressive Q2 2025 results, posting $5.25 billion in revenue—a 7.2% YoY rise in constant currency—exceeding the top end of its guidance. Kumar credited the performance to “investments in talent, platforms and AI infrastructure,” which helped drive the company’s fourth-straight quarter of organic growth, expanded margins, and a significant boost in bookings. The quarter saw Cognizant clinch two mega deals, each worth over $1 billion, contributing to record twelve-month bookings of $27.8 billion, up 6% YoY. Q2 bookings alone surged 18%.