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
- Robust 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.

📌 Azure AI Engineer (Azure OpenAI & GenAI) - PAN India (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru