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Cognizant
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Generative AI Architect

Generative AI Architect

Cognizant

14 - 18 years

35 - 60 Lacs

chennai

Posted:1 day ago| Platform:

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Skills Required

innovation architecting python natural language processing solutioning payments enterprise architecture microsoft azure utility aiml machine learning artificial intelligence performance java data science gcp computer vision .net aws consumer goods energy ml architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Architecting the Future: Agentic AI & Enterprise Transformation

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

futurist and business-savvy technologist

design, adoption, and scaling

advisory, hands-on solutioning, and practice-building leadership

Core Responsibilities

Architect & Implement Enterprise AI Ecosystems

Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration

Drive AI Strategy

anchor architect

Industry-Specific AI Solutions

Envision, Design and Deliver verticalized AI use cases

Develop, Train & Optimize Models

end-to-end model lifecycle

MLOps & LLMOps Leadership

MLOps/LLMOps pipelines

People Leadership & Practice Building

community of architects and engineers

Ecosystem & Partner Engagement

strategic partnerships

Innovation & Thought Leadership

white papers, frameworks, and patents

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
.

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