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 |
|---|---|---|
| Principal Applied Researcher Principal Applied Researcher to lead research projects on AI for developers, taking them from research into product. This role involves collaborating with scientists, engineers, and designers, building and training state-of-the-art models, applying and advancing LLMs for software engineering (including RAG and evaluation), and running experiments on a large scale with developer product teams. | ShipPost-train | 9 |
| Applied Science: Microsoft AI Internship Opportunities - Redmond This internship focuses on applying AI/ML expertise to real-world product scenarios within Microsoft's AI Content and Commerce, Search Fundamentals, and Search Place teams. Interns will work on problems in search, personalization, NLP, computer vision, and recommendation systems, translating research into production-ready solutions for products like Copilot. |
| Ship |
| 7 |
| Principal Applied Scientist This role focuses on building intelligence for the advertising marketplace, understanding user behavior, measuring impact, and optimizing outcomes. It involves developing large-scale learning systems for intent inference and causal effects from noisy data, influencing ranking, bidding, pricing, and budget allocation. The role requires defining and driving the scientific and technical strategy for data-driven attribution and causal measurement, establishing methodologies for incrementality estimation, counterfactual learning, and bias correction, and leading the production adoption of relevant frameworks. The ideal candidate will have deep expertise in causal inference and a track record of delivering measurable business impact with ML systems. | Ship | 7 |
| Senior Researcher - Research in Software Engineering - Microsoft Research Senior Researcher at Microsoft Research focusing on advancing software engineering through rigorous research, integrating AI and agent technologies into programming languages, testing, and automated reasoning. The role involves driving high-impact research, developing new ideas, building state-of-the-art systems, and preparing technical papers and presentations. | Ship | 5 |