Job Description

ABOUT US

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.

LEADING AT COGNIZANT

This is a Leadership role at Cognizant. We believe how you lead is as important as what you deliver. Cognizant leaders at every level:

Drive our business strategy

and inspire teams around our future.

Live the leadership behaviours

, leading themselves, others and the business.

Uphold our Values

, role modelling them in every action and decision.

Nurture our people and culture

, creating a workplace where all can thrive.


At Cognizant, leadership transcends titles and is embodied in actions and behaviours. We empower our leaders at every level to drive business strategy, inspire teams, uphold our values, and foster an inclusive culture. We invite you to see how you can contribute to our story.

KEY RESPONSIBILITIES

Own the enterprise AI architecture strategy, aligning with business goals and digital transformation initiatives. Evaluate and select AI platforms, tools, and protocols for scalability, security, and performance. Oversee the design and deployment of agentic ecosystems across business domains. Define KPIs and metrics for agent performance, business impact, and operational efficiency. Collaborate with C-suite stakeholders to drive AI adoption and innovation. Ensure compliance with global AI regulations, data privacy laws, and ethical standards. Represent the organization in external forums, consortiums, and industry events on AI strategy. Lead enterprise-wide AI transformation initiatives across business units. Define and enforce standards for agent lifecycle, observability, and interoperability. Establish governance for AI/ML model management, data lineage, and explainability. Drive cross-functional alignment across business, data, and technology teams. Mentor solution architects and technical leads in AI/ML and agentic design principles.

JOB REQUIREMENTS

15+ years of IT experience, including 5+ years in AI/ML and 1+ year in Generative AI / Agentic AI systems. Proven experience in enterprise architecture, AI strategy, and digital transformation. Exploratory and Good hands-on experience in Generative AI, Agentic AI, and multi-agent system design. Strong understanding of enterprise architecture frameworks (TOGAF, Zachman, etc.). Experience designing AI governance models, ethical AI frameworks, and compliance strategies. Ability to define enterprise-wide AI vision, roadmap, and reference architectures. Familiarity with GenAI offerings from major enterprise platforms such as Salesforce Agent force & Einstein GPT, ServiceNow Now Assist, SAP Joule, Workday AI, and Oracle AI Services, with working knowledge of how these integrate into enterprise workflows. Proficiency in cloud-native AI platforms including AWS SageMaker, AWS Bedrock, Azure AI Studio / Foundry, and Google Vertex AI. Understanding of hybrid and multi-cloud deployment models for AI workloads. * Awareness of AI marketplaces, agent registries, and autonomous orchestration platforms