Azure AI Engineer (Azure OpenAI & GenAI) - PAN India
Tata Consultancy Services · Hyderabad · onsite · Posted 29d ago
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About this role
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.
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