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Azure AI Engineer (Azure OpenAI & GenAI) - PAN India

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

We are seeking a talented Azure AI Engineer with hands-on expertise in Azure OpenAI, Azure AI Foundry, Azure AI Document Intelligence, Python, Azure Functions, and Retrieval-Augmented Generation (RAG).

The ideal candidate will be responsible for developing, deploying, and optimizing Generative AI and Intelligent Document Processing solutions on Microsoft Azure. The role involves building enterprise-grade AI applications, integrating AI services with business platforms, and implementing scalable, secure, and cloud-native AI workflows.

Key Responsibilities

Generative AI Development

  • Develop AI applications using Azure OpenAI Services.
  • Build enterprise-grade Generative AI solutions.
  • Implement prompt engineering and context management techniques.
  • Develop RAG-based applications using vector search and knowledge retrieval patterns.
  • Optimize response quality, latency, and model performance.

Azure AI Platform Engineering

  • Build and deploy AI workloads using:

  • Azure AI Foundry
  • Azure OpenAI
  • Azure AI Document Intelligence
  • Azure Machine Learning

  • Develop reusable AI services and frameworks.
  • Integrate AI models with enterprise applications and business processes.

Intelligent Document Processing

  • Develop document processing solutions involving:

  • OCR
  • Classification
  • Data Extraction
  • Validation Workflows

  • Integrate document intelligence solutions with enterprise platforms.

Azure Cloud Development

  • Build cloud-native applications using:

  • Azure Functions
  • Azure API Management (APIM)
  • Azure Storage Accounts
  • Azure Key Vault
  • Azure Log Analytics
  • Azure Application Insights

  • Develop secure APIs and cloud integrations.

RAG & Knowledge Systems

  • Build vector-based search and retrieval solutions.
  • Implement:

  • Embeddings
  • Chunking Strategies
  • Vector Indexing
  • Semantic Search

  • Work with Azure Cognitive Search and vector-enabled databases.

Security & Monitoring

  • Implement:

  • Entra ID Authentication
  • RBAC
  • Key Vault Security
  • Private Endpoints

  • Monitor AI workloads using:

  • App Insights
  • Azure Monitor
  • Log Analytics

Required Skills

  • 6-12 years of software engineering experience.
  • 3+ years of hands-on AI/GenAI experience.
  • Strong Python programming expertise.
  • Hands-on experience with:

  • Azure OpenAI
  • Azure AI Foundry
  • Azure AI Document Intelligence

  • Experience building:

  • Generative AI Applications
  • RAG Solutions
  • LLM Workflows

  • Hands-on experience with:

  • Azure Functions
  • APIM
  • Azure Storage
  • Azure Key Vault

  • Knowledge of:

  • Embeddings
  • Prompt Engineering
  • Vector Search
  • LLM Evaluation

  • Strong REST API development experience.

Preferred Skills

  • Azure Machine Learning.
  • Azure Databricks.
  • Azure Data Factory.
  • Azure Synapse Analytics.
  • Cosmos DB Vector Search.
  • Redis Enterprise.
  • Pinecone.
  • Power Platform.
  • Multi-Agent AI frameworks.
  • LLMOps and MLOps.

Skills

  • microsoft-azure
  • openai
  • processing-js
  • azure-machine-learning
  • azure-functions
  • microsoft-azure-functions
  • azure-api-management
  • azure-storage
  • microsoft-azure-storage
  • azure-key-vault
  • vault
  • azure-log-analytics
  • azure-application-insights
  • azure-search
  • azure-cognitive-search
  • microsoft-azure-cognitive-search
  • microsoft-entra-id
  • azure-monitor
  • Python
  • azure-databricks
  • databricks
  • azure-data-factory
  • azure-synapse
  • microsoft-azure-synapse
  • azure-synapse-analytics
  • azure-cosmos-db
  • Redis
  • microsoft-power-platform
  • agentai

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