Seeking a highly experienced GenAI Technical Architect or Senior Technical Lead to design and deliver enterprise-scale digital solutions. This role demands deep expertise in Python, React, Agentic AI frameworks, and AWS Cloud, with a proven history of architecting and implementing large-scale Generative AI applications. You will drive AI transformation initiatives from inception to production deployment, leveraging hands-on technical leadership and solution architecture mastery.

This is an exciting opportunity to shape the future of AI within our organization and mentor high-performing engineering teams.

Spearhead the architecture, design, and development of enterprise-grade Generative AI and Agentic AI solutions. Design and implement multi-agent systems using cutting-edge frameworks like CrewAI, AutoGen, LangGraph, LangChain, Semantic Kernel, and LlamaIndex. Develop scalable AI applications using Large Language Models (LLMs), RAG, Agentic Workflows, and AI Orchestration frameworks. Build robust backend services and APIs with Python (FastAPI, Flask, Django), and craft intuitive user interfaces using React.js, JavaScript, TypeScript, Redux, and modern UI frameworks. Architect cloud-native AI solutions on AWS, utilizing services such as Bedrock, Lambda, ECS, EKS, SageMaker, OpenSearch, DynamoDB, S3, API Gateway, and CloudWatch.

A minimum of 18-23 years of experience is required, with a strong focus on Generative AI and Agentic AI architectures. Demonstrable hands-on experience with CrewAI, AutoGen, LangGraph, LangChain, OpenAI/Azure OpenAI Models, and Amazon Bedrock is essential. A minimum of 10 years of Python development experience, including expertise in FastAPI, Flask, Django, Async Programming, REST API Development, and Microservices Architecture, is necessary. Proficiency in React.js and TypeScript, with experience in building AI-powered user interfaces, is also a must. Deep expertise in AWS cloud architecture and deployment, specifically with AWS Bedrock, SageMaker, and Lambda, is expected. Strong hands-on experience with the MERN stack (MongoDB, Express.js, React.js, Node.js) is also required. You will also be responsible for driving solution architecture, managing engineering teams, conducting reviews, defining standards, engaging with stakeholders, and providing technical leadership during pre-sales.