New 
Principle Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Nov 02, 2025 | |
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OverviewDo you want to shape the future of the autonomous enterprise and lead the development of intelligent, agent-first experiences that transform how businesses operate? The Business and Industry Solutions (BIS) team is looking for a Principal Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You will lead rapid experimentation cycles, build robust evaluation frameworks, and apply advanced techniques such as reinforcement learning to enable multi-step reasoning and decision-making. You will collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible-empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale. This role requires prior expertise in natural language processing (NLP), with a solid foundation in large language model (LLM) development, evaluation, and fine-tuning. You should have hands-on experience in applying advanced fine-tuning techniques-including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation-to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential. You should be comfortable working in a experimentation-driven environment, leveraging both offline and online evaluation methods to iterate rapidly and optimize agent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role. 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.
ResponsibilitiesDrive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains. Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios. Steer strategic direction and investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence. Build alignment and trust across leadership and cross-functional teams through clear, persuasive communication and collaborative engagement. Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments. Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture. Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation. Embody our culture and values | |