Role: Azure AI Engineer

Experience: 6+ Years

Locations- Bangalore, Hyderabad

Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions on Microsoft Azure.
Build enterprise AI applications using Azure OpenAI Service and Large Language Models (LLMs).
Develop Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector databases.
Integrate AI capabilities into business applications through APIs and microservices.
Fine-tune prompts and optimize AI model performance for enterprise use cases.
Design and implement scalable, secure, and cost-productive AI architectures.
Collaborate with business stakeholders to identify AI prospects and convert them into production-ready solutions.
Monitor, troubleshoot, and improve AI applications for accuracy, performance, and governance.
Ensure AI solutions comply with security, privacy, and responsible AI guidelines.




Create technical documentation, architecture diagrams, and deployment guides.

Required Technical Skills Azure AI & Generative AI
Azure OpenAI Service
GPT Models (GPT-4/4o or equivalent)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Azure AI Search
Azure AI Foundry / Azure AI Studio
Azure Cognitive Services
Azure Document Intelligence (Form Recognizer)

Preferred Skills
Experience with Copilot implementations.
Knowledge of Vector Databases (Azure AI Search, Pinecone, ChromaDB, FAISS).
Experience with Agentic AI frameworks.
Experience in chatbot and virtual assistant development.
Exposure to Databricks and Azure Data Engineering ecosystem.
Knowledge of Responsible AI and AI Governance frameworks.

📌 Azure Data Ai Engineer Bengaluru (India)
🏢 Tata Consultancy Services
📍 India