Birlasoft—Architect

Job description

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