Architecting the Future: Agentic AI & Enterprise TransformationJoin 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 EcosystemsDesign 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.
Drive AI StrategyServe 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.
Industry-Specific AI SolutionsEnvision, 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.
Develop, Train & Optimize ModelsLead 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.
MLOps & LLMOps LeadershipEstablish enterprise standards for MLOps/LLMOps pipelines (CI/CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems.
People Leadership & Practice BuildingMentor 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.
Ecosystem & Partner EngagementBuild 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.
Innovation & Thought LeadershipPublish 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
12+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership.
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5+ years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration).
Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines.
Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP).
MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance.
CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients.
Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices.
People Leadership: Experience mentoring teams and building cross-functional AI capability practices.
Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs).Good to have.
Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation.
Recognized thought leadership (conferences, panels, media interviews).
Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality
Experience with AgentOps, model evaluation frameworks, and AI observability tooling.Functional Competencies
Business Acumen: Identify and execute high-value AI transformations across industries.
Consultative Mindset: Convert PoCs/PoVs into long-term transformation programs.
Practice Builder: Mentor, hire, and scale AI architecture talent pools.
Ecosystem Shaper: Drive co-innovation with hyperscalers, startups, and ISVs.
Pragmatic Execution: Balance build-vs-buy, deliver under pressure, and navigate enterprise politics.
Translation & Storytelling: Distill complex AI concepts into clear executive-ready narratives.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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