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
