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**.
- ** 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**.