*Job Summary*

We are looking for a skilled and motivated *Cloud Data & Generative AI Engineer* to design, develop, deploy, and optimize cloud-based data and AI solutions. The ideal candidate should have hands-on experience with *Microsoft Azure, Databricks, Python, SQL, Data Engineering, LLMs, Generative AI, RAG, and AI application development*.

The role involves working across cloud infrastructure, data pipelines, analytics, machine learning, Generative AI applications, and up-to-date AI architectures.
Key Responsibilities

* Design and implement scalable data and cloud solutions using *Microsoft Azure*.
* Develop and manage Azure services including *Azure Storage, Azure SQL, Cosmos DB, Virtual Machines, App Services, Azure Functions, API Management, Logic Apps, Event Hub, Service Bus, and Azure Monitor*.
* Build and optimize data engineering pipelines using *Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Azure Data Factory*.
* Develop ETL/ELT pipelines and implement data ingestion, transformation, validation, and quality processes.
* Work with *ADLS,



Azure Synapse Analytics, Databricks, and Power BI* for end-to-end data solutions.
* Implement CI/CD and infrastructure automation using *Git, GitHub, GitHub Actions, Docker, Terraform, and Azure DevOps*.
* Develop Python-based applications and APIs using frameworks such as *FastAPI*.
* Work with *Machine Learning, Large Language Models (LLMs), NLP, Transformers, and pre-trained models*.
* Develop and deploy Generative AI applications, chatbots, and conversational AI solutions using Azure AI services.
* Design and implement *Prompt Engineering, Azure AI Foundry, Azure AI Search, RAG, vector search, embeddings, and agentic AI solutions*.
* Build AI agents using *tool/function calling, Semantic Kernel, LangChain, Azure AI Agent Service, and MCP*.
* Develop Retrieval-Augmented Generation (RAG) pipelines with retrieval, grounding, reranking, query rewriting, and evaluation.
* Implement monitoring, security, go

📌 Cloud Data (Pune)
🏢 Henry Harvin India
📍 Pune