Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
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.
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 Product Manager, Agentic Experiences Product Manager for Agentic AI team, focusing on next-generation agentic AI products that reason, plan, and act across applications, the web, and the OS. The role involves translating AI research into scalable products for Copilot, Bing, Edge, M365, and Azure, with a focus on shipping 0-to-1 agentic products. | Agent | 9 |
| Principal Product Manager Principal Product Manager for Search & AI team, focusing on next-generation agentic AI products. The role involves defining vision and execution for generative experiences across search, chat, and other agentic applications, empowering users to accomplish complex tasks. Responsibilities include roadmap definition, turning model capabilities into product features, working with cross-functional teams, and using evaluation methods for product quality and safety. The role emphasizes driving DAU growth through product strategy, distribution tactics, and partnerships. |
| 8 |
| Senior Product Manager Senior Product Manager for Commercial Engineering & AI (CEAI) at Microsoft, focusing on transforming the support ecosystem into an AI-first, agent-powered model. The role involves owning and delivering AI-powered support experiences and agent-based workflows to improve customer outcomes and operational efficiency at global scale. Responsibilities include defining product vision, leading design and delivery of AI-powered experiences, driving product execution, and using data and experimentation for continuous improvement. | Agent | 7 |
| Product Manager II - Microsoft Foundry Product Manager II for Microsoft Foundry, focusing on building and scaling an AI-first application stack, including agent runtimes, orchestration, and a model serving platform. The role involves defining product offerings, identifying opportunities for team velocity, tracking metrics, managing dependencies, and communicating with executives. | AgentServe | 7 |
| Lead Solution Engineer - Agentic CRM (AI Agents × Copilot × Dynamics365 Sales & Service | Enterprise Lead Solution Engineer for Agentic CRM, focusing on proposing and closing deals for next-generation business platforms combining Dynamics 365, Copilot, and AI Agents. The role involves designing and proposing business transformation scenarios using AI, leading pre-sales activities, and collaborating with sales, partners, and global teams to drive large-scale strategic projects for enterprise clients. | Agent | 7 |
| Principal Technical Program Manager - Finance Data & Experiences Principal Technical Program Manager to lead an AI-first transformation of the Finance Data & Insights portfolio, shaping product strategy and experience across data platforms, AI agents, dashboards, and analytical tools. The role involves integrating Microsoft technologies like Copilot and Fabric into business solutions, driving end-to-end delivery of scalable, AI-powered experiences, and partnering with engineering and product teams. | Agent | 7 |
| Principal Lead Technical Program Manager - Windows Agentic Platform Security The Principal Lead Technical Program Manager will drive the product roadmap for security within the Windows agentic platform, focusing on AI-powered security experiences and their extensions across the broader Windows application platform. This role involves strategic leadership, technical depth, and people management to define vision, build team capability, and scale execution for platform-level identity, containment, governance, and recovery experiences for AI agents. | Agent | 7 |
| Principal Product Manager Principal Product Manager to define the next generation of engineering systems for Microsoft's Chromium-based products (Edge, WebView2, Copilot app), focusing on AI-driven application workflows and AI-assisted coding to improve developer productivity and innovation at scale. | Agent | 7 |
| CTO, Enterprise ASEAN, Thailand CTO for Enterprise ASEAN, Thailand, focusing on designing and implementing Cloud + AI + Agentic technology roadmaps for enterprise customers. The role involves winning CXO mindshare, driving digital transformation, and creating thought leadership in areas like Generative AI and Agentic solutions. | Agent | 7 |
| Principal Product Manager - AI Security (CoreAI) This role focuses on defining and building the security foundation for AI systems, particularly agentic systems, within enterprise applications. The Principal Product Manager will lead product efforts to detect, prevent, and govern AI security risks, integrating these capabilities with Microsoft's broader security stack. The role is at the intersection of AI systems, cybersecurity, and enterprise cloud infrastructure, driving 0-to-1 product development for AI security. | Agent | 7 |