Microsoft Research (MSR) is a multidisciplinary global organization working to create scientific knowledge and deliver innovation that leads to positive human impact at scale. The Microsoft Research Americas Engineering team supports several MSR labs and seeks an innovative and experienced Senior Research Software Engineer on the Agentic Experiences team to drive and contribute to a variety of research projects in various stages of research and productization. You will help deliver quality engineering solutions engaging in AI-native development methods, automation, and agentic workflows to design, build, evaluate, and ship software across Microsoft Research. You will collaborate with other engineers, researchers, and product teams to create innovative vision and drive high quality execution for high-impact and high-scale reach across all of Microsoft’s portfolio, from core models, health, social and economics, coding and development, vision and graphics, systems and networks, and more. You will also be able to contribute to the shape our engineering culture, strategy, and execution, as well as modernize AI engineering practices all in support of accelerating our collective impact across Microsoft Research Americas, Microsoft and beyond.

Independently design and build software using appropriate artificial intelligence (AI) tools, frameworks and practices across the software development lifecycle (SDLC) in a disciplined manner. Apply innovative AI agentic tooling and workflows for efficient code generation, evaluation, debugging, and refinement. Contribute to all layers of code and infrastructure to bring scientific experiments from prototypes to reliable and scalable products ready for adoption across Microsoft.

Owns or collaborates with other engineers on the architecture of solutions, with minimal technical oversight. Applies appropriate coding patterns and best practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Proactively Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered.

Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Take responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same.

Seek connections between MSR projects, design and develop “better together” systems, architectures, and implementations that align key research in support of facilitating new research as well as product transfers.

Collaborate with MSR Americas engineering leadership to contribute to a cohesive engineering vision. Navigate ambiguity in a dynamic research environment, using tangible intermediate milestones to realize long-term vision.