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 |
|---|---|---|
| Digital Solution Engineer - D365 CE This role is for a Digital Solution Engineer focused on AI-powered business applications, specifically Dynamics 365 Sales & Service. The engineer will lead AI transformation engagements, own technical win strategies, design solutions, deliver demonstrations, and engage with C-suite executives and technical decision-makers. The role involves showcasing Microsoft's AI capabilities in D365 solutions, addressing technical blockers like AI compliance and security, and leveraging the partner ecosystem. The primary focus is on selling and implementing AI-driven business processes for the SME-C segment. | — | 5 |
| Cloud Solution Architect Cloud Solution Architect specializing in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. This customer-facing role involves architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security. The role leverages existing IP and execution engines to drive delivery excellence, accelerate adoption, and ensure successful deployments for services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. Collaboration with engineering teams and staying current with trends are key to helping customers unlock the full value of their data and AI investments. |
| — |
| 5 |
| Logistics Technician This role is for a Logistics Technician in a Microsoft Data Center, responsible for inventory audits, deliveries, vendor coordination, and documentation. It involves managing inventory principles, warranty processes, and data-bearing device destruction. | — | 0 |