Chief Architect - Gen AI

About the roleAs an Enterprise Architect – Generative & Agentic AI, you will make an impact by defining and delivering enterprise-scale AI architectures that accelerate digital transformation and business innovation. You will be a valued member of the AI & Digital Engineering team and work collaboratively with C-suite stakeholders, AI strategists, solution architects, and engineering teams to build scalable, secure, and future-ready AI ecosystems. In this role, you will:

• Define and own the enterprise AI architecture strategy, aligning with business objectives and transformation initiatives
• Design and implement Generative AI and Agentic AI solutions, including multi-agent architectures and orchestration frameworks
• Lead end-to-end solution architecture, from LLM selection and context engineering through to deployment and integration
• Drive innovation through PoCs, pilots, and reusable accelerators, ensuring measurable business outcomes
• Establish and enforce AI governance, compliance, and ethical AI frameworks to enable responsible adoptionWork model: In OfficeAt Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an in-office position requiring 5 days a week in a client or Cognizant office in [Chennai/Bangalore/Hyderabad]. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered
• 18+ years of IT experience, including 5+ years in AI/ML and experience in Generative AI / Agentic AI systems
• Proven expertise in enterprise architecture, AI strategy, and digital transformation initiatives
• Strong hands-on experience in Generative AI, Agentic AI, and multi-agent system design
• Deep understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman)
• Experience with cloud-based AI platforms (AWS, Azure, Google Cloud) and enterprise AI ecosystemsThese will help you stand out
• Experience designing AI governance models, ethical AI frameworks, and regulatory compliance strategies
• Familiarity with enterprise AI platforms (Microsoft, Google, Salesforce, ServiceNow, SAP, Oracle, Workday)
• Proven ability to mentor architects and scale AI capabilities across teams
• Experience defining agent lifecycle, observability, and interoperability standards