Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.​

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The Applied AI team is part of the Azure Data - Customer Advisory Team (CAT) and we're seeking a Principal Applied AI Engineer to lead some of our efforts. Our mission is to empower our customers by leveraging their data and applying the latest advances in Generative AI to transform their industries. Help us grow a culture of learning and inclusion where everyone strives, grows and collaborates. Azure data’s family of products, including Fabric, Azure databases, etc. is purpose-built for the age of AI. Our mission is to empower our customers to transform their enterprise data into knowledge, whether structured or unstructured (RAG, NL2SQL, etc.). We collaborate closely with customers, Product Managers and Engineers, anchoring ourselves in real-world use cases. Our commitment to continuous improvement drives us to explore the latest AI advancements and tools, allowing us to prototype and solve customer-centric challenges.

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We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.