Senior Software Engineer (AI) - Planner

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done.

We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, and Visio. With Project and Planner, we help customers collaborate effectively to navigate complexity, determine critical paths, and orchestrate their plans to achieve more. With To Do and Tasks, we help customers capture, prioritize, and complete their aspirations and goals along their path to success. And with Visio, we help customers model and conceptualize information pathways that flow through process diagrams, organizational charts, and more to visualize what is and what can be. Collectively, we're responsible for an incredible portfolio of products and services that help guide people and organizations along their journey to achieve more.

As a Senior Software Engineer on the Path team, you won’t just be building software—you’ll be transforming how people work, plan, and collaborate every single day. You’ll be modernizing work management with AI, pioneering next-generation Large Language Models (LLMs) and advanced Agentic frameworks that supercharge productivity. From leveraging cutting-edge AI agents to automate repetitive tasks, to creating intelligent assistants that streamline project workflows and proactively complete tasks, you’ll be at the heart of an exciting global effort—redefining how people everywhere get things done.

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.

AI-Native Development

• Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes 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. Uses SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to improve processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities.

Coding

• Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills. Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process.
• Uses debugging tools, tests, logs, telemetry, and other methods to proactively verify assumptions while developing code before issues occur for products in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence. Independently applies least-access principles, uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and drives those practices across the team.
• Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Continuously improves code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Applies metrics to drive code quality and stability. 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). Identifies and escalates blockers or unknowns during the development process, communicates how they will impact timelines, and identifies strategies and/or opportunities to address them.

Design

• Independently creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code. Ensures test plans incorporate security testing to validate secur