New 
Principal Applied AI Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Nov 02, 2025 | |
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OverviewAs a Principal Applied AI Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.AI Mission and ImpactWe 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 build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.We are looking for a Principal Applied AI Scientist to join our team.This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.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 teams to deliver impactful AI solutions.Research, implement, and fine-tune state-of-the-art AI models using advanced techniques like foundation models, prompt engineering, and multi-agent architectures.Rapidly prototype AI solutions, deploy them to production, debug code, and support MLOps/AIOps workflows.Translate research into production-ready solutions, measure impact through A/B testing and telemetry, and contribute to papers, patents, and conferences.Use data to identify gaps in AI quality, uncover insights, and implement proof-of-concept projects.Maintain clear documentation of experiments and share findings internally to promote innovation and knowledge sharing. | |