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.
- Drive AI Strategy
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.
- Industry-Specific AI Solutions
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.
- Develop, Train & Optimize Models
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.
- MLOps & LLMOps Leadership
Establish 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 Building
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.
- Ecosystem & Partner Engagement
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.
- Innovation & Thought Leadership
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
- 15+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership.
- 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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
