Job Description – GenAI Technical Architect / Senior Technical Lead

Experience: 18–23 Years

Location: PAN India

Primary Skills: Python, React, Agentic AI, AWS Cloud

We are seeking a highly experienced GenAI Technical Architect / Senior Technical Lead with 18–23 years of experience in designing and delivering enterprise-scale digital solutions. The ideal candidate will possess strong expertise in Python, React, Agentic AI frameworks, and AWS Cloud, with a proven track record of architecting and implementing large-scale Generative AI applications. The role requires hands-on technical leadership, solution architecture expertise, and the ability to drive AI transformation initiatives from concept to production deployment.

Key Responsibilities

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

Required Skills

Generative AI & Agentic AI

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

Python Development

• 10+ years of experience in Python development.
• Expertise in:
• FastAPI
• Flask
• Django
• Async Programming
• REST API Development
• Microservices Architecture

Front-End Development

• Strong hands-on experience in:
• React.js
• TypeScript
• Experience building AI-powered user interfaces and dashboards.

AWS Cloud

• Deep expertise in AWS cloud architecture and deployment.
• Experience with:
• AWS Bedrock
• SageMaker
• Lambda
• Experience designing highly available, scalable, and secure cloud solutions.

Leadership Expectations

• Drive solution architecture and technology strategy for AI initiatives.
• Manage and mentor large engineering teams.
• Conduct architecture reviews and code reviews.
• Define engineering standards, governance, and best practices.
• Engage with CXO-level stakeholders and customers.
• Estimate project efforts and provide technical leadership during pre-sales engagements.

Ideal Candidate Profile

A seasoned Technology Leader/Architect with strong expertise in Python, React, Agentic AI, and AWS, capable of leading end-to-end GenAI transformation programs, architecting scalable enterprise solutions, and mentoring high-performing engineering teams.