Seeking a highly experienced GenAI Technical Architect / Senior Technical Lead with a robust 18–23 year background in architecting and deploying enterprise-scale digital solutions.

This pivotal role demands extensive expertise in Python, React, Agentic AI frameworks, and AWS Cloud. The ideal candidate will have a proven history of designing and implementing large-scale Generative AI applications, driving AI transformation from inception to production.

This position requires strong hands-on technical leadership, advanced solution architecture capabilities, and the ability to guide significant AI initiatives. Focus on designing and delivering cutting-edge AI-powered solutions is paramount.

Lead the architectural vision, design, and development of enterprise-grade Generative AI and Agentic AI solutions.

Implement multi-agent systems using frameworks such as CrewAI, AutoGen, LangGraph, LangChain, Semantic Kernel, and LlamaIndex.

Develop scalable AI applications utilizing Large Language Models (LLMs), RAG, Agentic Workflows, and AI Orchestration.

Build robust backend services and APIs with Python (FastAPI, Flask, Django).

Design and develop intuitive user interfaces using React.js, JavaScript, TypeScript, Redux, and modern UI paradigms.

Architect cloud-native AI solutions on AWS, leveraging services like Bedrock, Lambda, ECS, EKS, SageMaker, OpenSearch, DynamoDB, S3, API Gateway, and CloudWatch.

A minimum of 18 years of experience in designing and delivering enterprise-scale digital solutions is essential.

Strong expertise in Generative AI and Agentic AI architectures, with hands-on experience in CrewAI, AutoGen, LangGraph, LangChain, OpenAI/Azure OpenAI Models, and Amazon Bedrock.

Possess over 10 years of Python development experience, with proficiency in FastAPI, Flask, Django, Async Programming, REST API Development, and Microservices Architecture.

Significant hands-on experience in Front-End Development with React.js and TypeScript is required, including building AI-powered user interfaces.

Deep expertise in AWS cloud architecture and deployment, including AWS Bedrock, SageMaker, and Lambda, is crucial for designing highly available, scalable, and secure cloud solutions.