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 |
|---|---|---|
| Cloud Solution Architecture - Infrastructure This role focuses on acting as a trusted technical advisor for Microsoft's strategic customers, helping them improve the reliability, resilience, security, performance, and operational excellence of their Azure environments. It involves proactive assessments, technical guidance, incident leadership, and cross-functional collaboration within a global follow-the-sun model. The CSA will advise on architecture and operations aligned with the Azure Well-Architected Framework, lead complex troubleshooting efforts, facilitate Root Cause Analysis, and drive reduction of reactive operational demand through reliability-focused recommendations and operational maturity improvements. The role also involves performing proactive health assessments, risk reviews, and analyzing telemetry and monitoring platforms to identify trends and develop actionable insights. Customer engagement includes creating knowledge documentation, delivering onboarding assessments, and tracking remediation progress. Global collaboration with various Microsoft teams is essential. | — | 0 |
| Digital Solution Engineer This role is for a Digital Solution Engineer at Microsoft, focusing on engaging with customer technical decision makers to drive technical wins. The role involves leveraging customer context, portfolio expertise, and deep technical knowledge to build credibility, represent the customer to product teams, and contribute to strategy development. Responsibilities include capturing competitive intelligence, providing technical input, and ensuring consistency in engagements. The role also involves presenting architecture patterns, customizing demonstration assets, and engaging in partner sell-with scenarios. The engineer will coach sales teams on digital transformation and build readiness plans. This is not an AI-focused role, but rather a technical sales and consulting position within an enterprise context. |
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