Sr. Gen AI / Agentic AI Architect

Cognizant; Indore District, Hyderabad, Chennai; Hybrid; INR 4,500,000 - 7,000,000; Full time

Job summary

Cognizant is seeking a Sr. Gen AI Architect in India (Chennai/Hyderabad/Indore) to lead the design and delivery of advanced AI systems. You will drive Generative AI and Agentic AI initiatives, building scalable, secure, and observable AI solutions across cloud platforms.

With 8+ years in architecture, you will mentor teams, implement MLOps pipelines, and guide deployment of models on AWS SageMaker, Azure AI or Vertex AI, while ensuring governance and security across enterprise applications.

Qualifications

• 8+ years in a technical architecture role.
• Azure and/or AWS cloud architectures expertise.
• Hands-on with Docker and Kubernetes.
• Python or R with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• MLOps practices and model deployment on cloud platforms.
• Multi-agent orchestration and RAG architectures.
• Prompt engineering, vector search and LLM observability basics.
• Spring Boot and microservices knowledge.
• Enterprise AI security, scalability and governance awareness.

Responsibilities

• Architect and develop scalable Generative AI solutions on cloud platforms.
• Design containerized AI apps and orchestrate deployments with Kubernetes.
• Establish observability frameworks for LLMs and analytics.
• Develop ML models using Python or R and ML frameworks.
• Deploy AI/ML solutions via cloud-native services (SageMaker, Vertex AI).
• Build multi-agent systems and RAG architectures.
• Define standards for prompt engineering, vector search and orchestration.
• Create and manage MLOps pipelines from training to deployment and monitoring.
• Collaborate with cross-functional teams to integrate AI into products.
• Lead optimization, performance tuning and troubleshooting of AI apps.
• Promote secure, scalable and maintainable AI architectures.
• Mentor AI engineering teams on new technologies.

Skills

GenAI

Agentic AI

Azure/AWS

Docker

Kubernetes

Python

R

TensorFlow

PyTorch

scikit-learn

SageMaker

Vertex AI

MLOps

RAG

Vector search

Prompt engineering

LLM observability

Spring Boot

Microservices

AI security

Governance

Tools

Docker

Kubernetes

AWS SageMaker

Azure AI

Google Vertex AI

Spring Boot

Job description

Role: Sr. Gen AI / Agentic AI Architect

Location: Chennai, Hyderabad, Indore

We are seeking a highly experienced GenAI & Agentic AI Architect with strong hands‑on expertise to lead the design, development, and implementation of advanced AI solutions for our clients. This role requires a seasoned technical leader with over 8 years of architecture experience and deep knowledge of Azure and/or AWS cloud ecosystems, combined with strong capabilities in containerization, orchestration, observability, and modern AI frameworks.

You will play a critical role in shaping next-generation AI systems, leveraging Generative AI and Agentic AI paradigms to build scalable, intelligent and action‑oriented solutions.

Key Responsibilities

• Architect and develop scalable, high‑performance Generative AI solutions on Azure/AWS/ GCP platforms
• Design, build and manage containerized AI applications using Docker and orchestrate deployments via Kubernetes
• Establish and maintain observability frameworks for LLMs, including performance monitoring, system health, and usage analytics
• Develop and implement machine learning models using Python or R, leveraging frameworks such as TensorFlow, PyTorch or scikit‑learn
• Build and deploy AI/ML solutions using cloud‑native services such as AWS SageMaker, Azure AI or Google Vertex AI
• Design and implement multi‑agent systems and Retrieval‑Augmented Generation (RAG) architectures
• Define and enforce standards for prompt engineering, vector search and model orchestration
• Build and manage enterprise‑grade MLOps pipelines covering model training, fine‑tuning, evaluation, deployment and monitoring
• Collaborate with cross‑functional teams to integrate AI capabilities into enterprise products and platforms
• Lead system optimisation, performance tuning and troubleshooting of AI‑driven applications
• Establish best practices for secure, scalable and maintainable AI architectures
• Mentor and guide AI engineering teams on emerging technologies and implementation best practices
• Stay current with advancements in Generative AI, Agentic AI and cloud technologies

Required Skills & Qualifications

• Minimum 8+ years of experience in a technical architecture role
• Proven expertise in Azure and/or AWS cloud architectures
• Strong hands‑on experience with Docker and Kubernetes
• Proficiency in Python or R with experience in TensorFlow, PyTorch or scikit‑learn
• Deep knowledge of MLOps practices and model deployment on AWS SageMaker, Azure AI or Google Vertex AI
• Experience with multi‑agent orchestration and RAG architectures
• Solid understanding of prompt engineering, vector search and LLM observability frameworks
• Experience with Spring Boot and microservices architecture
• Strong understanding of enterprise AI security, scalability and governance principles