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Azure Data AI Engineer

Exclusive opportunity

Onsite

Azure Data AI Engineer

Tata Consultancy Services

Azure Data AI Engineer

Skills

Data EngineeringMicroservicesDatabricksMachine LearningAIAzure

19 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 October 2026

What they need


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-efficient 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.

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