This role focuses on designing and leading end-to-end enterprise data, GenAI, Copilot, and agentic AI architectures. The Solution Architect will translate business requirements into scalable, secure, and governed solutions, own data platform design for AI readiness, and define GenAI solution patterns including RAG and grounding strategies. They will also lead the architecture for Copilot and AI-augmented applications, integrating AI services into business workflows.

Software Engineers (II and Senior) needed to lead engineering efforts for Teams Copilot, leveraging Generative AI, LLMs, and an AI stack to enhance collaboration and user experience. The role involves end-to-end ownership, prototyping, evaluating new AI features, and developing scalable, reliable services with a focus on live-site operations and data-driven decisions.

This role focuses on building cross-cutting capabilities for AI companions like Copilot, spanning multiple modalities (text, voice, vision, action). The engineer will own features end-to-end, collaborate with AI researchers, and ship experiments rapidly to create user experiences that redefine AI companionship. The role requires strong full-stack fundamentals and comfort with ambiguity in a fast-paced environment.

Engineering Lead to build and own the software engineering platform for large-scale machine learning retrieval systems, including RAG for Copilots, web-scale search, and personalized recommendations. The role focuses on translating retrieval research into reusable, scalable systems, defining engineering standards, and integrating new methods. It involves cross-team technical leadership and improving developer/researcher experience.

Senior/Principal Security Researcher on the Global Hunting, Oversight, and Strategic Triage (GHOST) team. The role involves performing threat hunts, assisting with investigations, developing threat intelligence, and cultivating investigation best practices into Microsoft tooling and products. Researchers will support a global team to identify and catalog new attacker TTPs, victims, and deliver customer notifications to protect worldwide enterprise customers and empower customers to protect themselves via constantly improving Microsoft products.

Software Engineer on the Path team at Microsoft, focusing on modernizing work management products (Project, Planner, To Do, Visio) with AI. The role involves pioneering LLMs and agentic frameworks to automate tasks and streamline workflows, contributing to the development of AI-powered productivity tools.

Senior Software Engineer to build GitHub's coding agent CLI and the core agent loop powering agentic experiences across GitHub and Microsoft. The role focuses on turning AI systems into reliable developer tools, with an emphasis on agentic systems, tool design, agent loops, benchmarking, quality optimization, and high-performance terminal experiences.

This role focuses on building large-scale Copilot memory and personalization systems using RAG, search, embeddings, retrieval, and ranking. The individual will be responsible for designing and implementing these systems, collaborating with stakeholders, and mentoring engineers. Experience with LLM applications and large-scale embedding/retrieval/ranking systems is required.

Software Engineer II role focused on designing and building AI-powered scheduling systems by integrating backend services, LLMs, APIs, and Outlook services for Microsoft Calendar and Teams. The role involves developing agent-driven solutions to reduce cognitive load and empower users in the hybrid work era.

The Microsoft 365 Copilot Windows App team is building intelligent, multimodal AI experiences into Windows, enabling AI agents using MCP to redefine user interaction with devices and bring AI to billions. The role involves designing and implementing intelligent features leveraging voice, camera, and screen context, building and optimizing agentic workflows, and owning end-to-end AI capabilities.

Software Engineer II - CoreAI role focused on developing connectors and enriching ingested content with AI/ML capabilities for Azure AI Search, aiming to make it the knowledge and memory layer for Agentic applications. This involves generating vector embeddings, transforming data, and advancing multi-modal search.