GenerativeAI Architect

Architecting the Future : Agentic AI & Enterprise Transformation

Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI.

We are seeking a pragmatic futurist and business-savvy technologist to redefine how enterprises operate in the AI-first era . This strategic role is available across Cognizant's key delivery locations in India .

You will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for our most strategic clients.

This role blends advisory, hands-on solutioning, and practice-building leadership to ensure AI delivers tangible, industry-specific business outcomes .

Core Responsibilities

• Architect & Implement Enterprise AI Ecosystems

Design and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration . Ensure architectures are cloud-native, secure, and industry-compliant .

Serve as the anchor architect for major client accounts. Lead C-level discussions to define AI roadmaps that link technology to measurable business outcomes. Influence long-term investment strategies.

Envision, Design and Deliver verticalized AI use cases across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality.

Lead end-to-end model lifecycle : data preparation, training, fine-tuning , deployment, monitoring, and continuous improvement. Balance LLM vs. SLM adoption for cost, latency, and performance optimization.

Establish enterprise standards for MLOps / LLMOps pipelines (CI / CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems.

Mentor and grow a community of architects and engineers . Build capability squads in GenAI / Agentic AI. Shape the company's AI practice , including skills development, hiring strategy, and succession planning .

Build and leverage strategic partnerships with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and co-sell AI solutions into strategic accounts.

Publish white papers, frameworks, and patents . Lead executive roundtables and contribute to the Tech Radar , ensuring the firm shapes the AI conversation in the market.

Required Skills & Experience

Good to have.

Functional Competencies

Skills Required

MLops, Gcp, Azure, Monitoring, Aws