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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. The Fabric Data Engineering Experience & Infrastructure team is hiring a AI Engineer to help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering, based on Apache Spark. You will help implement agentic workflows and scalable LLM-backed data features (e.g., AI Functions integration, notebook copilots, evaluation/telemetry etc) with advanced capabilities designed to help Data Engineers achieve more through Microsoft Fabric. 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.
Job Responsibility:
Design and develop world-class experience for new big data cloud offering
Plan, schedule and deliver quality software incrementally
Review changes to product codebase and provide constructive feedback that align with industry best practices
Maintain and operate cloud online services
Passion and experience for building great developer experience and user experience of modern analytics systems
Have a deep desire to work collaboratively, solve problems with teams across the world and celebrate successes
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Nice to have:
Software development experience building scalable, distributed services using C# or other high-level languages
Software development experience with multi-threaded/parallel programming
Software development experience on service fabric or Kubernetes
Experience with open-source components like Spark as a plus
Experience with Azure/AWS/Google Cloud Compute/Storage/Network resource provisioning & management as a plus