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 |
|---|---|---|
| Senior Consultant, Apps & AI Senior Consultant for Microsoft's Industry Solutions team, focusing on delivering AI-enabled applications and cloud solutions on Azure for enterprise customers. Responsibilities include client-facing consulting, designing and building full-stack applications, architecting cloud-native solutions, implementing DevOps, and leading the end-to-end delivery lifecycle. The role emphasizes AI-enabled development using Azure OpenAI, Azure AI Services, custom ML models, agentic AI systems, and RAG architectures, alongside cloud-native architecture and DevOps practices. | AgentServe | 7 |
| Senior Consultant, Apps & AI Senior Consultant focused on delivering AI-enabled applications and cloud solutions on Azure, including agentic AI systems and RAG architectures. Responsibilities span from pre-sales to end-to-end delivery, emphasizing scalable architectures, full-stack development, and DevOps practices. |
| AgentServe |
| 7 |
| Data and AI Solution Architect This role focuses on designing and leading end-to-end enterprise data, GenAI, Copilot, and agentic AI architectures. The Solution Architect will translate business requirements into scalable, secure, and governed solutions, own data platform design for AI readiness, and define GenAI solution patterns including RAG and grounding strategies. They will also lead the architecture for Copilot and AI-augmented applications, integrating AI services into business workflows. | AgentData | 7 |