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 |
|---|---|---|
| Azure Solution Specialist Sales leader focused on driving Azure consumption, particularly in areas like Gen AI, Analytics, and cloud economics, to help enterprise customers achieve digital transformation. | — | 5 |
| Azure Solution Specialist Solution sales leader with deep business and technical expertise in Azure, focusing on driving digital transformation and AI adoption for enterprise customers. Responsible for achieving Azure consumption targets by guiding customers through their AI and digital transformation journey, recommending solutions, and removing deployment roadblocks. | — | 5 |
| Account Executive - Communication, Transportation and Retail Account Executive role focused on driving digital and AI transformation for clients in the communication, transportation, and retail sectors. The role involves understanding client business needs, developing strategic roadmaps, and leveraging Microsoft solutions (including AI/Copilot) to achieve business outcomes. Requires strong sales experience, relationship building, and industry knowledge. |
| — |
| 5 |
| Principal Consulting Project Manager This role is for a Principal Consulting Project Manager at Microsoft, focused on managing the delivery of industry-specific solutions to strategic customers. The role involves account delivery management, intellectual property research and sharing, relationship development with customer stakeholders, project initiation, contracting, presales support, and detailed project planning. The core responsibilities revolve around managing project lifecycles, ensuring customer satisfaction, adhering to compliance standards, and driving project profitability and risk management within a broader enterprise solutions context. | — | 0 |
| Senior Customer Success Account Manager Senior Customer Success Account Manager role focused on empowering enterprise customers to achieve business value through Microsoft's cloud platforms and services. The role involves end-to-end post-sales delivery and support orchestration, relationship management, and aligning customer needs with Microsoft solutions. | — | 0 |
| Principal Customer Success Account Manager This role is for a Principal Customer Success Account Manager at Microsoft, focusing on empowering enterprise customers to achieve business value through Microsoft's cloud platforms and services. The role involves managing customer relationships, understanding customer needs, aligning them with Microsoft solutions, and orchestrating post-sales delivery and support across the Microsoft and Partner ecosystem. It requires technical expertise, business acumen, and industry perspectives to drive customer success and adoption of Microsoft products and services. | — | 0 |