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 opportunities 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)
🏢 Tata Consultancy Services
📍 Bengaluru