Gen AI Architect

Cognizant; Chennai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cognizant is seeking a Gen AI & Agentic AI Architect to lead design and implementation of advanced AI solutions across Pan India. The role requires hands-on expertise in Azure/AWS, containerization with Docker and Kubernetes, and strong MLOps practices.

The architect will shape next‑generation AI systems, build multi‑agent and RAG architectures, and guide teams on modern AI frameworks. Remote collaboration and in‑person interviews are part of the process.

Qualifications

• Minimum 8+ years in a technical architecture role.
• Strong hands-on cloud and ML infra experience.
• Experience with Generative AI and Agentic AI paradigms.
• Proven leadership in enterprise-grade AI solutions.

Responsibilities

• Architect and develop scalable Generative AI solutions on Azure and/or AWS.
• Design and manage containerized AI applications using Docker and Kubernetes.
• Establish observability frameworks for LLMs with performance monitoring and analytics.
• Develop ML models using Python or R with frameworks like TensorFlow, PyTorch, scikit-learn.
• Build and deploy AI/ML solutions using cloud-native services like AWS SageMaker, Azure AI, or Vertex AI.
• Design multi-agent systems and Retrieval-Augmented Generation (RAG) architectures.
• Define standards for prompt engineering, vector search, and model orchestration.
• Build and manage MLOps pipelines from training to deployment and monitoring.
• Collaborate with cross-functional teams to integrate AI capabilities into products.
• Lead system optimization and troubleshooting of AI-driven apps.
• Establish best practices for secure, scalable AI architectures.
• Mentor AI engineering teams on new technologies.

Skills

Cloud architectures

Docker & Kubernetes

Python/R ML

MLOps deployment

LLM observability

Multi-agent systems

Tools

TensorFlow/PyTorch

AWS SageMaker

Azure AI/Vertex AI

Spring Boot/Microservices

Job description

Role: Gen AI & Agentic AI Architect

Location : Pan India

Experience : 6 to 15 Years

Notice Period : Immediate to 90 days

Mode of Interview : In Person

Gen AI & Agentic AI Architect

About The Role:

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 and/or AWS 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 optimization, 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

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.