The role
Job description
Overview
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 Microsoft Fabric, the Platform team builds and operates the unified foundation that brings together all Fabric workloads into a single, cohesive experience. The platform provides shared infrastructure, governance, security, and a unified data model that enables customers to manage their entire data estate in one place. This team is central to delivering Fabric as a complete, end-to-end intelligence platform.
The Microsoft IQ team brings contextual intelligence to how users understand, reason over, and act on information. By grounding data in a shared semantic layer, Microsoft IQ helps ensure insights are consistent, meaningful, and aligned. This capability enhances how users interact with data, powering smarter analytics, natural language experiences, and AI-driven scenarios that turn data into actionable understanding at scale.
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.
Responsibilities
* Design and deliver AI-powered capabilities using large language models (LLMs), with a focus on effective context management, reliability, and measurable customer value.