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 |
|---|---|---|
| Member of Technical Staff, Principal Full Stack Engineer - Copilot Applications 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. | Agent | 7 |
| Software Engineer Software Engineer role focused on building and scaling the inferencing cloud for Large Language Models and GenAI Services within Azure CoreAI Platform. The role involves designing, building, and operating large-scale engineering systems for AI models. | Serve |
| 7 |
| Senior Software Engineer Senior Software Engineer role focused on designing, developing, and optimizing Azure's High Performance Computing and AI Platform (HPC/AI) virtual machines. This involves deep technical work on hardware/software interactions, device virtualization, and performance analysis of GPU workloads for large-scale AI training and inference. The role contributes to the underlying platform software and its exposure as an Azure service, with opportunities to work on upper layers of Azure infrastructure. | Serve | 7 |
| Engineering Lead - Extreme Retrieval 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. | AgentEval Gate | 7 |
| Senior Software Engineer The role focuses on designing and building cutting-edge networking infrastructure for large-scale AI training and inference in Azure Cloud. The goal is to enable breakthroughs in AI by delivering unmatched computational power, scalability, and reliability, with a focus on high performance, low latency, and minimal jitter for distributed AI workloads. | Serve | 7 |
| Senior & Principal Security Researcher 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. | Agent | 7 |
| Software Engineer II - Copilot M365 Calendar 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. | Agent | 7 |
| Member of Technical Staff, AI Platform Engineer This role focuses on engineering user-facing AI features for Microsoft's personal AI, Copilot. The engineer will own the development lifecycle from inception to delivery, build secure and performant AI platform services, and collaborate with researchers and other engineers to create next-generation AI products. The role emphasizes shipping high-quality, well-tested, secure, and maintainable code within a fast-paced product development cycle. | Ship | 7 |
| Member of Technical Staff - AI Product Engineer - Web This role focuses on building AI-powered web experiences for Microsoft Copilot, collaborating with researchers and product managers to deliver a world-class AI companion. The engineer will design and build efficient front-end systems and infrastructure for complex web applications, ensuring safety and reliability for millions of users. | Ship | 7 |
| Member of Technical Staff - Data Infra - MAI Superintelligence Team The role focuses on building and maintaining data infrastructure for large-scale AI model training, specifically ingesting and processing enormous amounts of multimodal data (text, audio, images, video). This includes owning data pipelines, Spark, Ray, and Vector Databases, and partnering with pretraining and post-training teams to improve the data recipe for frontier models. | Data | 7 |
| Software Engineering 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. | Agent | 7 |