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 Architect - Entry Level Entry-level Cloud Solution Architect role focused on designing and building AI and Agentic solutions for customers using Microsoft's AI platform (Copilot, Azure AI, etc.). The role involves technical engagements, accelerating adoption, and delivering repeatable solutions. | Agent | 5 |
| Technical Support Advisor This role is a Technical Support Advisor for Microsoft's Customer Service & Support (CSS) organization. The primary focus is on ensuring the technical readiness and process compliance of frontline support staff. While the role involves leveraging AI technology to help customers and prevent future problems, the core responsibilities are centered around support, troubleshooting, and readiness, rather than directly building or researching AI models. The role aims to drive delivery excellence and superior customer outcomes by providing in-depth technical expertise and mentoring support staff. | — |
| 5 |
| Technical Support Engineering Manager This role is for a Technical Support Engineering Manager at Microsoft, leading a team of support engineers who resolve complex customer technical issues related to Business Applications. The role involves people management, customer relationship management from a support standpoint, ensuring team readiness, driving product/process improvement through feedback, and business integration for effective collaboration. While the company and its products leverage AI, this specific role focuses on managing the support and resolution process for customers, not on building or directly developing AI models or systems. | — | 0 |
| Technical Support Engineer Manager This role is for a Senior Support Engineering Manager at Microsoft, leading a team of support engineers to resolve complex customer technical issues. The role involves people management, customer relationship management from a support standpoint, ensuring team readiness, driving product/process improvement through feedback and automation, and fostering business integration for a great customer experience. While the role operates within an organization that leverages AI technology and aims to accelerate AI transformation for customers, the core responsibilities are focused on technical support management and team leadership, not direct AI/ML model development or research. | — | 0 |
| Technical Support Advisor This role is a Technical Support Advisor at Microsoft, focusing on providing technical readiness and process compliance for frontline support staff. While the company leverages AI in its support operations, this specific role is not directly involved in building or developing AI models or systems. The primary focus is on ensuring the effectiveness of the support team and improving support processes. | — | 0 |
| Technical Support Engineering Manager This role is for a Senior Support Engineering Manager at Microsoft, leading a team of support engineers to resolve complex customer technical issues. The role involves people management, ensuring team readiness, driving product/process improvement through feedback, and establishing business integration strategies for effective collaboration. While the company leverages AI technology and aims to accelerate AI transformation for customers, the core function of this role is managing technical support operations and customer relationships, not directly building or researching AI models. | — | 0 |
| Technical Support Engineer - Entry Level Entry-level Technical Support Engineer role focused on troubleshooting customer technical issues for Microsoft products and services, leveraging AI technology within the Customer Service & Support organization. The role involves responding to and resolving customer issues, collaborating with teams, and identifying potential product defects. | — | 0 |