Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
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.
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 |
|---|---|---|
| Principal Product Designer, AI Experiences Product Designer for Microsoft's Superintelligence Team, focusing on end-to-end UX for AI product surfaces like MM Labs and Playground. This role leverages AI-native tools and agentic coding workflows to rapidly prototype and ship UI, bridging the gap between design and engineering. The designer will collaborate with researchers and model designers, contribute to design systems, and use data to inform decisions, with a high bar for visual craft and interaction quality. | Ship | 8 |
| Principal Technical Program Management Specialist This role translates early-stage AI research from Microsoft Research and applied R&D into shippable cloud AI capabilities. The Principal Technical Program Manager will shape technical concepts into product roadmaps, drive execution with Azure engineering teams, and manage external suppliers. The role involves defining success criteria, technical bars, and launch criteria for moving research prototypes to general availability, and managing program structure, roadmap, schedule, and governance for multi-team efforts. It also involves closing the loop from production back to research by validating use cases and bringing customer feedback to shape future investments. |
| Ship |
| 7 |