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 |
|---|---|---|
| AI for Good Research Lab: Internship Opportunities Microsoft's AI for Good Research Lab is seeking PhD interns to conduct research in AI and data to address global challenges in areas like food security, disaster response, and conservation. The role involves formulating research questions, designing and implementing experiments with machine intelligence and ML, and collaborating on developing systems from prototype to production. Candidates should have a strong academic background in AI/ML, computer vision, or NLP, with experience in Python and deep learning models. | Post-train | 9 |
| Software Engineer II Software Engineer II role focused on Microsoft's identity platform, powering secure and reliable user experiences. The role involves designing and building scalable notification capabilities, ensuring service reliability, and collaborating across teams. It emphasizes innovation in areas like AI-driven signal processing and intelligent notification capabilities, with a requirement to use AI-based tools. |
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