Cognizant

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Gen AI & Agentic AI Architect

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

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