Sr Architect

Birlasoft; Hyderabad; Sur place; INR 5 500 000 - 7 500 000; Plein temps

Résumé du poste

Birlasoft in India seeks a GenAI Architect/Senior Technical Lead with deep expertise in Python, React, Agentic AI and AWS to lead end-to-end GenAI transformation programs. Hands-on leadership and architectural guidance are required to deliver enterprise-scale AI solutions.

The role involves designing multi-agent systems, building scalable AI apps, and mentoring large engineering teams across geographies, with a strong focus on production deployment and governance.

Qualifications

• Extensive GenAI/Agentic AI architectures exposure.
• Hands-on leadership in enterprise AI design & delivery.
• Strong Python and React experience with AWS Cloud.
• Experience with multi-agent frameworks and LLMs.

Responsabilités

• Lead architecture, design and development of GenAI/Agentic AI solutions.
• Design multi-agent systems using CrewAI, AutoGen, LangGraph, LangChain.
• Develop AI apps with LLMs, RAG, agentic workflows, orchestration.
• Build backend services and APIs using Python (FastAPI/Flask/Django).
• Create UI with React.js, TypeScript and modern frameworks.
• Architect cloud-native AI on AWS (Bedrock, Lambda, SageMaker, etc.).

Connaissances

Generative AI

Agentic AI

Python

FastAPI

Flask

Django

Async Programming

REST API Development

Microservices Architecture

React.js

TypeScript

AWS

Bedrock

SageMaker

Lambda

MongoDB

Express.js

Node.js

Outils

CrewAI

AutoGen

LangGraph

LangChain

OpenAI

Azure OpenAI

Amazon Bedrock

Description du poste

Select how often (in days) to receive an alert:

Location: INDIA - HYDERABAD - BIRLASOFT OFFICE

Title: Sr Architect

Description:

Long Description

Job Description – Mern GEN AI Architect
Experience: 12-16 Years
Location: Noida,Pune,Chennai,Bengaluru, Mumbai, Hyderabad
Primary Skills: Agentic AI & Generative AI, MERN Stack,AWS Cloud
Position Summary
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.
• MERN Stack
• Strong hands-on experience in:
• MongoDB
• Express.js
• React.js
• Node.js

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.