New 
Senior AI Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Aug 07, 2025 | |
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OverviewMicrosoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission. MCAPS AI Transformation (AIT) focuses on making sure sellers, customers, and partners have the skills, systems, and tools to take share more effectively and efficiently. We drive scale and efficiency with prioritized solution plays aligned with Microsoft Customer Engagement Methodology (MCEM), regionalized marketing, and operational centers of excellence. We are looking for a Senior AI Engineer to join ourAIT Customer Zero AI Innovation team. As a Senior AI Engineer, you would implement architectural changes and influence roadmap of relevant software and platform components to enable AI Solutions and Product Integration for MCAPS Businesses. You will also play a pivotal role in designing, implementing, and maintaining robust data acquisition and metadata-driven orchestration pipelines.
ResponsibilitiesExplore and innovate in areas such as Generative AI, vision, multi-modality, ML Feature Store, first party API integration.Implement architectural changes and influence the roadmap of relevant software and platform components to enable AI solutions and product integration for MCAPS businesses.Collaborate with Data Scientists, Software Engineers & Product Managers to design sophisticated AI solutions leveraging first party products and platforms.Partner with first party product and platform teams to build key capabilities that can be leveraged to create AI Skills, Plugins and Copilot experiences.Drive the exploration of new applications and use cases for advanced AI models and ML technologies.Stay up to date with the latest advancements AI Platforms, Products and Libraries.Ability to continually ramp up on latest deep learning model architectures/algorithms, Open AI enhancements and large language models (LLM) directions.Develop and maintain data acquisition pipelines using Azure Data Factory.Implement metadata-driven orchestration pipelines to ensure scalability and flexibility.Develop complex transformation logic in Azure Databricks.Collaborate with cross-functional teams to understand data requirements and implement solutions accordingly.Optimize and troubleshoot existing data pipelines for performance and reliability.Implement best practices for data quality, security, and compliance. | |