Senior AI Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 21, 2025 | |
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OverviewAs a Senior Artificial Intelligence Applied Scientist on the Business & Industry Copilot Foundations team, you will help drive Microsoft's mission by developing and integrating advanced AI technologies into products and services. You'll work with product, research, and engineering teams to create innovative solutions, using your machine learning and data science expertise to solve complex challenges and shape both product direction and customer experience. We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to builda truly open architecture platform that enables users to summon tailored AI solutions to drive real-world outcomes. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesBuild collaborative relationships with product and business groups to deliver AI-driven impact. Research and implementstate-of-the-artusing foundation models, prompt engineering, RAG, graphs, multi-solutions architectures, as well as classical machine learning techniques. Fine-tune foundation models using domain-specificdatasets. Evaluate model behavior on relevance, bias, hallucination, and response qualityvia offline evaluations, shadow experiments, online experiments, and ROI analysis. Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, supportMLOps/AIOps. Contribute to papers, patents, and conferencepresentations. Translate research into production-ready solutionsand measure their impact through A/B testing and telemetrythat addresscustomer needs. Ability to use data toidentifygaps in AI quality, uncover insights and implementPoCsto show proof of concepts. | |