Architect

Birlasoft; India; On-site; INR 400,000 - 640,000; Full time

Job summary

Birlasoft in India is seeking an experienced GenAI Architect to design, build, and scale enterprise-grade Generative AI solutions on Azure. You will lead end-to-end GenAI initiatives, integrating Azure OpenAI, Cognitive Search, LangChain, and vector databases to deliver production-ready capabilities.

The role emphasizes strong governance, safety guardrails, and collaboration across backend and frontend teams.

Qualifications

• 10–12 years of overall technology experience in core application development.
• 5+ years leading AI apps and conversational interfaces.
• Hands-on expertise with Azure cloud generative AI tools.
• Proficiency in Python and NodeJS.

Responsibilities

• Architect and implement end-to-end GenAI solutions using Azure ecosystem (Azure OpenAI, Cognitive Search, etc.)
• Develop and enforce AI guardrails for safety, compliance, and responsible AI usage
• Build scalable, secure, and high-performance AI systems aligned with enterprise standards
• Implement conversational AI application using NodeJS, Azure OpenAI and Python
• Integrate various AI technologies like OpenAI models, LangChain, Azure Cognitive Services to enable sophisticated natural language capabilities
• Implementation of private endpoints across the Azure services leveraged for the application
• Implement schemas, APIs, frameworks and platforms to operationalize AI models and connect them to conversational interfaces
• Implement app logic for conversation workflows, context handling, personalized recommendations, sentiment analysis etc.
• Build and productionize vector databases for the application on Azure cloud

Skills

Python

NodeJS

LangChain

NLP techniques

Conversation AI

Communication

Tools

Azure OpenAI

Azure Cognitive Search

PostgreSQL

Pinecone

FAISS

Weaviate

ChromaDB

Llama Index

Job description

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Location: INDIA - NOIDA- BIRLASOFT OFFICE

Title: Architect

Description:

Area(s) of responsibility

GenAI App Tech Architect – Azure OpenAI & Azure Cognitive Search

We are looking for an experienced GenAI Architect to design, build, and scale enterprise‑grade Generative AI solutions. The ideal candidate will have deep expertise in Azure AI services, Retrieval‑Augmented Generation (RAG) architectures, and AI governance, along with the ability to collaborate across backend and frontend teams to deliver production‑ready applications.

Responsibilities:

• Architect and implement end-to-end GenAI solutions using Azure ecosystem (Azure OpenAI, Cognitive Search, etc.)
• Develop and enforce AI guardrails for safety, compliance, and responsible AI usage
• Build scalable, secure, and high‑performance AI systems aligned with enterprise standards
• Implement conversational AI application using NodeJS, Azure OpenAI and Python
• Integrate various AI technologies like OpenAI models, LangChain, Azure Cognitive Services (Cogniitve Search, Indexes,Indexers and APIS etc) to enable sophisticated natural language capabilities
• Implementation of private endpoints across the Azure services leveraged for the application
• Implement schemas, APIs, frameworks and platforms to operationalize AI models and connect them to conversational interfaces
• Implement app logic for conversation workflows, context handling, personalized recommendations, sentiment analysis etc.
• Build and deploy the production application on Azure while meeting security, reliability, and compliance standards
• Create tools and systems for annotating training data, monitoring model performance, and continuously improving the application
• Mentor developers and provide training on conversational AI development best practices
• Build and productionize vector databases for the application on Azure cloud

Requirements:

• 10-12 years of overall technology experience in core application development
• 5+ years experience leading development of AI apps and conversational interfaces
• Hands‑on implementation centric knowledge of generative AI tools on Azure cloud
• Deep, hands‑on and development proficiency in Python and NodeJS
• Hands‑on expertise of SharePoint indexes and data/file structures (Azure SQL)
• Hands‑on knowledge of Azure Form Recognizer tools
• Experience with LangChain, Azure OpenAI and Azure Cognitive Search
• Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback) using Python
• Vector databases on Azure cloud using PostgreSQL
• Pinecone, FAISS, Weaviate or ChromaDB
• Prompt Engineering using LangChain or Llama Index
• Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc.
• Hands‑on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines
• Good to have - Strong communication, DevOps, and collaboration skills