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Architect

BirlaSoft -
Noida, Uttar Pradesh

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Job details

Qualifications

Azure
Node.js
DevOps
Application development
SQL
Sentiment analytics
PostgreSQL
Natural language processing
SharePoint
APIs
AI
Communication skills
Python

Full job description

Country/Region: IN

Requisition ID: 37438

Work Model:

Position Type:

Salary Range:

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

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