Job Description

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

10+ 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

.