Gen AI Architect

About the Position

Role: Gen AI & Agentic AI Architect

Location: Pan India

Experience: 9 to 18 Years

Notice Period: Immediate to 90 days

Mode of Interview: In Person & Virtual

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.

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

Requirements

• 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

About the Company

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process, and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes, and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

We Offer

• Competitive compensation
• Comprehensive benefits program including retirement plans, financial education, and more
• Opportunities to explore new technologies, industries, and locations
• Support for your physical and mental health through paid time off, flexible working, healthcare plans, counseling, and our Mental Health Allyship program
• Real-world impact by helping the biggest brands strengthen their business

Additional Employment Information

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by federal, state, or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

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