Microsoft has 521 active AI-related job listings. The majority of these roles are focused on agents, representing 37% of the total, followed by application and serving infrastructure. Engineering is the most frequent function, with a significant number of openings, and the United States is the primary hiring country. Frequent tech tags include agent orchestration, model serving, and LLM observability, suggesting a focus on operationalizing AI models. Over the last 30 days, Microsoft has added 280 new AI roles, a 157% increase compared to the previous 30-day period.
Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
Microsoft currently has 343 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (19), Senior Software Engineer (19), Software Engineer II (8), Principal Applied Scientist (7), Principal Data Scientist (4). Most positions are in Engineering and Research.
Microsoft's active AI hiring is concentrated in: agents (36%), application (21%), serving infrastructure (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Microsoft is hiring AI talent in: United States (308 roles), Canada (15 roles), Japan (8 roles), United Kingdom (7 roles).
Job postings at Microsoft most frequently mention: Computer Architecture, Python, Machine Learning, C#, C++.
In the past 30 days, Microsoft has posted 227 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Intern - MSR Montreal / ML Team Research Intern position at Microsoft Research Montreal focusing on advancing LLM research in reasoning, interaction (RL training), and modularity, specifically for agentic coding LLMs. The role involves developing, improving, and exploring AI model capabilities, contributing to cutting-edge technologies, and potentially publishing research. | PretrainPost-train | 10 |
| Applied Scientist II This role focuses on building and evolving the core orchestration and intelligent systems that power Microsoft's enterprise Copilot, a large-scale AI assistant for Microsoft 365. The work involves advancing model training, developing model-driven features from concept to production, and enhancing the orchestrator for improved reasoning, speed, and multi-modal/agentic capabilities. The goal is to ship cutting-edge AI technology impacting hundreds of millions of users. |
| AgentPost-train |
| 9 |
| Principal Researcher - Artificial Specialized Intelligence - Microsoft Research Principal Researcher in Artificial Specialized Intelligence focusing on developing cutting-edge large foundation models and post-training techniques for specific domains and scenarios. The role involves integrating AI systems, developing research prototypes, and publishing findings in top-tier venues. | PretrainPost-train | 9 |
| Senior Researcher - Artificial Specialized Intelligence, Microsoft Research Senior Researcher in Artificial Specialized Intelligence focusing on developing cutting-edge large foundation models and post-training techniques for specific domains and scenarios. The role involves conducting research, collaborating with cross-functional teams, developing prototypes, and publishing findings. | Post-trainPretrain | 9 |
| Research Intern - Artificial Intelligence Research Intern position at Microsoft Research focusing on artificial intelligence projects including multimodality, world models, LLMs, and computer vision. The role involves conducting research, developing novel methodologies, and disseminating findings through publications. Requires enrollment in a master's or PhD program. | Pretrain | 9 |
| Senior Software Engineer Senior Software Engineer role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric, utilizing Apache Spark. The role involves implementing agentic workflows, scalable LLM-backed data features, and defining evaluation strategies for LLM features, while applying Responsible AI practices. | Agent | 8 |
| Senior Product Manager - Agentic Platform Product Manager for Microsoft's Agentic Engineering platform, focusing on building and scaling AI-powered developer tools and experiences for thousands of Microsoft engineers. The role involves defining product vision, strategy, and roadmap for the core orchestration layer, developer tools, plugin marketplace, and enterprise governance, with a strong emphasis on hands-on use of AI tools and driving adoption. | Agent | 8 |
| Software Engineering Manager Engineering Manager to lead a team focused on building and scaling an agentic engineering platform for AI-powered developer productivity across Microsoft. The role involves managing engineers, setting team direction, fostering experimentation, and partnering with other teams to advance AI in developer workflows. | Agent | 8 |
| Applied Scientist - Core AI Speech Research role focused on developing and industrializing novel speech algorithms, including integrating speech with LLMs for multimodal modeling, and applying these models to real products with continuous monitoring and evaluation. | Post-train | 8 |
| Software Engineer II - AI Engineering / Python/DS Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric, utilizing Apache Spark. The role involves implementing agentic workflows, scalable LLM features, and robust data pipelines, with a strong emphasis on AI engineering, evaluation, and operationalization of LLM systems. | AgentData | 7 |
| Software Engineer II - Full Stack (The Fabric Data Engineering Experience & Infrastructure) Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, LLM-backed data features, and operationalizing AI/ML features, with a focus on full-stack development including React-based UX and backend services in .NET/Python. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, scalable LLM-backed data features, and AI-assisted experiences to help data engineers. Responsibilities include end-to-end ownership of features, building frontend UX, developing full-stack capabilities, and contributing to AI-powered developer productivity tools within notebooks and data engineering environments. The role also involves operating and maintaining the built systems. | AgentData | 7 |
| Senior Software Engineer Senior Software Engineer role on the Power BI Core AI team at Microsoft. The role focuses on building AI-first capabilities to make enterprise data more accessible, governed, and useful for human users and AI agents. Responsibilities include AI-native development, writing secure and performant code for web clients and service-side components integrating with LLM-based agents, and driving product development and scaling. The role involves working across the full product stack to shape how AI transforms enterprise analytics at scale, including agentic AI experiences, benchmarking, and evals. | Agent | 7 |
| Software Engineering II- Full stack Full Stack Engineer to build LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows and scalable LLM-backed data features, focusing on AI Engineering and modern LLM-based systems. | Agent | 7 |
| Software Engineer Software Engineer role focused on building an agentic engineering platform for AI-powered productivity across Microsoft's codebases, involving AI models and orchestration frameworks. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building an agentic engineering platform for Microsoft developers, leveraging AI models and orchestration frameworks to enhance software engineering workflows like code refactoring and understanding. The role involves designing, developing, and deploying platform capabilities, applying AI-assisted development tools, and mentoring other engineers. | Agent | 7 |
| Principal Software Engineer The AI Engineer will help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering, based on Apache Spark. This includes implementing agentic workflows and scalable LLM-backed data features like AI Functions integration, notebook copilots, and evaluation/telemetry. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role on the Microsoft Teams AI Platform team, focusing on building and operating high-scale backend services that enable AI agents to work seamlessly across Teams. The role involves designing and developing foundational infrastructure, collaborating with AI teams, and ensuring high standards of availability, reliability, and performance for features impacting millions of users. | AgentServe | 7 |
| Principal Researcher - Systems & Networking - Microsoft Research Principal Researcher in Systems and Networking with a focus on AI-driven methods for systems innovation, performance, efficiency, and scalability. The role involves developing new methodologies, collaborating with cross-functional teams, and publishing research findings. | Serve | 7 |
| Principal Researcher - Cloud and AI Infrastructure - Microsoft Research Principal Researcher at Microsoft Research focused on advancing cloud and AI infrastructure architecture, and chip design using AI technologies. The role involves investigating hardware trends, designing and optimizing hardware components, conducting simulations, developing prototypes, and collaborating with cross-functional teams to integrate intelligent systems across computing layers. | Serve | 7 |
| Research Intern - AI Hardware Research Intern role focused on AI Hardware, specifically on chip architectures for efficient AI serving and inference systems. The role involves research, analysis, documentation, and innovation in collaboration with researchers and engineers. | Serve | 7 |
| Senior Researcher - Systems and Networking, Microsoft Research Senior Researcher in Systems and Networking at Microsoft Research, focusing on AI-driven methods for system innovation, performance, efficiency, and scalability. The role involves developing and implementing new methodologies, collaborating with cross-functional teams, and publishing research findings. Requires a Doctorate and background in systems/networking with knowledge of ML systems, databases, and networking technologies, including Agent Systems and Vector Databases. | Serve | 7 |
| Senior Researcher - Cloud and AI Infrastructure, Microsoft Research Senior Researcher in Cloud and AI Infrastructure at Microsoft Research, focusing on advancing AI infrastructure architecture and chip design using AI technologies. The role involves investigating hardware trends, optimizing components, conducting simulations, developing prototypes, and collaborating with cross-functional teams to solve complex real-world challenges at the intersection of AI, human interaction, and environmental context. | Pretrain | 7 |