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 |
|---|---|---|
| Product Manager, AI Product Manager to build a platform providing LLMs with up-to-date web information, reducing hallucinations and increasing user confidence. This role will drive feature development, onboard partners, and support strategic relationships, focusing on APIs for the Agentic Web. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on co-engineering AI-powered, cloud-based solutions with enterprise customers. The role involves building reliable systems, production-ready services, and translating business needs into technical solutions using modern engineering practices and cloud AI platforms. Experience with AI/ML/LLM solutions, prompt engineering, RAG, and operating AI systems in production is required. | Agent |
| Principal Software Engineer Principal Software Engineer role focused on the security and privacy backbone of Microsoft's Intelligent Conversation and Communications Cloud (IC3). The role involves setting technical strategy and architecture for AI-driven, agentic security tooling, including vulnerability detection, posture assessment, and remediation. It also requires defining and enforcing quality gates, exercising compliance judgment across various standards (SOC 2, HIPAA, FedRAMP, etc.), and driving partner alignment. The position emphasizes applying AI/ML pragmatically to reduce false positives and improve remediation throughput, establishing evaluation and safety patterns, and leading incident response. | AgentEval Gate | 7 |
| Senior Applied Threat Intelligence Analysts This role involves using AI, specifically building agents and pipelines, to enhance threat intelligence analysis and delivery for Microsoft Security customers. The focus is on understanding the threat landscape, tracking threat actors, and translating findings into actionable intelligence at machine speed. | Agent | 7 |
| Principal Software Engineer Manager, CoreAI This role leads the AI Foundry Agents Platform, focusing on enabling developers to build and deploy complex agents with multi-agent orchestration, tool use, and production deployment capabilities at enterprise scale. The role involves managing and coaching engineers, driving strategic clarity, fostering engineering alignment, delivering end-to-end experiences, building foundational capabilities, championing customer-centric development, and ensuring live site excellence for large-scale distributed systems. | 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 |
| Principal Software Engineering Lead This role leads the technical vision and architecture for RAMP, Microsoft's internal AI-powered workforce resource management platform. It involves architecting a scalable system that integrates data, AI, and workflows for talent planning, moving towards agentic and autonomous planning. The role requires expertise in system architecture, data platforms, and distributed systems, with a focus on enabling AI/ML capabilities like forecasting and anomaly detection, while ensuring enterprise-grade security and compliance. | AgentData | 7 |
| Software Engineer 2 Software Engineer 2 to join the Microsoft Discovery team, working on an AI-driven platform that uses AI agents and high-performance computing to accelerate scientific research and development. The role involves architecting and building scalable, distributed systems, driving features from ideation to rollout, and improving engineering velocity through AI-enabled process enhancements. | Agent | 7 |
| Member of Technical Staff, Principal Software Engineer - Windows Copilot This role focuses on building the full stack for Copilot experiences on Windows, from data and models to user experiences and quality feedback loops. The engineer will work on agentic workflows, distributed systems, and AI to create next-generation AI-assisted computing experiences, shipping consumer-scale services. | Agent | 7 |
| Member of Technical Staff, Microsoft Robotics (Software Systems) Microsoft Robotics is building a platform for physical intelligence, an integrated robotics software and AI platform that enables humans, robots, and AI agents to collaborate. This role focuses on designing and building core infrastructure components like SDKs, cloud services, edge runtimes, and agent orchestration layers. The position involves architecting platform extensibility, building production-grade data infrastructure for the robotics lifecycle, owning cross-cutting concerns like security and performance, and driving the developer experience. Collaboration with autonomy, simulation, and evaluation teams is key to meeting ML training and evaluation requirements. | AgentData | 7 |
| Member of Technical Staff, Microsoft Robotics (Perception) This role focuses on developing and integrating perception, localization, mapping, and navigation capabilities for robotic platforms within Microsoft's physical intelligence platform. It involves designing and implementing production-quality autonomy systems that combine multi-sensor perception, SLAM, state estimation, and navigation planning, with an emphasis on turning research into robust, scalable systems for real-world deployment across diverse robots and environments. | AgentData | 7 |
| Member of Technical Staff, Microsoft Robotics (Navigation) Develops and deploys navigation and planning systems for robots, enabling them to move safely and efficiently in real-world environments. This role involves working across the autonomy stack, integrating classical robotics with modern AI systems, and building robust software for diverse robot embodiments and operating conditions. | AgentServe | 7 |
| Member of Technical Staff, Microsoft Robotics (Human-Robot-AI Interaction) This role focuses on designing the human-robot-AI interaction and interfaces for Microsoft's robotics platform, enabling collaboration between people, robots, and AI agents. It involves creating interaction paradigms for natural language commands, AR overlays, gesture input, and trust calibration mechanisms, aiming to establish Microsoft's design language for physical AI experiences. | Agent | 7 |
| Principal Software Engineer Lead This Principal Software Engineer Lead role focuses on designing and building AI-native systems and agentic workflows to transform Microsoft's commercial sales ecosystem. The role involves rapid prototyping, shipping scalable production-quality features, integrating systems and data, and ensuring responsible AI development. | Agent | 7 |
| Principal Applied Threat Intelligence Manager This role manages a team of Applied Threat Intelligence analysts, leveraging AI to understand the threat landscape and attacker tradecraft. The team tracks threat actors, translates findings into actionable guidance, and builds pipelines and tooling to deliver cyber threat intelligence at machine speed. The role involves partnering with product, research, and other teams to integrate intelligence into customer-facing surfaces and managed services. | Agent | 7 |
| Principal Applied Threat Intelligence Analyst This role focuses on leveraging AI to understand the threat landscape and attacker tradecraft, tracking threat actors, and translating findings into actionable intelligence. The role involves building and refining pipelines and tooling for machine-speed delivery of cyber threat intelligence to customers, partnering with product and research teams to integrate intelligence into customer-facing surfaces. | Agent | 7 |
| AI Discovery + Web Personalization Product Manager (Agentic Web Lead) Product Manager for AI Discovery and Web Personalization, focusing on creating agentic web experiences. The role involves defining strategy and roadmaps for AI discovery, session-based personalization, and interactive on-site agents, ensuring content is understood by AI, adapting experiences in real-time, and building trustworthy AI assistants. Requires strong product management, technical AEO fluency, and cross-functional leadership. | AgentServe | 7 |
| Senior Program Manager - NPI Team This role focuses on increasing the productivity, scale, and depth of NPI Program Managers through data systems, automation, and applied AI. The Senior Program Manager will define the vision and lead the build-out of tools, structured data sources, and agentic AI solutions to help PMs run programs with better risk foresight and pattern recognition. The core responsibility is to improve the leverage and effectiveness of the PM function through AI and data systems. | Agent | 7 |
| Principal Product Manager Principal Product Manager for autonomous selling experiences at Microsoft, focusing on agentic capabilities to move sellers from insight to action. The role involves defining product hypotheses, validating value, prototyping, establishing metrics, and translating validated concepts into scalable roadmap investments. Requires operating in ambiguity, strong product judgment, and data-driven decision making. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, scalable LLM-backed data features, and AI-assisted experiences to help data engineers. Responsibilities include end-to-end ownership of features, building frontend UX, developing full-stack capabilities, and contributing to AI-powered developer productivity tools within notebooks and data engineering environments. The role also involves operating and maintaining the built systems. | AgentData | 7 |
| AI Software Engineer AI Software Engineer role focused on building AI-powered testing capabilities for Visual Studio and .NET CLI. The role involves designing and implementing intelligent agents for test case suggestion, code analysis, and test maintenance, as well as developing benchmarking frameworks to evaluate AI models for coding tasks. The technology stack includes C# and Azure, leveraging LLMs. | Agent | 7 |
| 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 |
| Software Engineer 2 Software Engineer role focused on designing and building AI-native systems and agentic workflows to transform Microsoft's commercial sales ecosystem. The role involves understanding business processes, prototyping, shipping scalable features, integrating systems, and ensuring responsible AI development. | Agent | 7 |
| Software Engineer II Software Engineer II role focused on building and deploying AI-powered solutions for enterprise customers, translating real-world problems into production-grade AI systems. Responsibilities include engineering data pipelines, building custom applications, deploying scalable workflows, and monitoring/refining deployed solutions. Requires practical experience with AI/LLMs and leveraging generative AI. | Agent | 7 |
| Service Engineer Service Engineer role focused on building and managing end-to-end solutions for Microsoft Cloud operations, including AI-powered agents, LLM-powered workflows, and automation for incident triage and operational intelligence. The role involves data pipelines, integrating incident management systems, and collaborating with various teams to translate business requirements into technical solutions. | Agent | 7 |
| Software Engineer II Software Engineer II role focused on evolving agentic AI capabilities within Microsoft's Power BI and Fabric products. The role involves crafting, fine-tuning, and maintaining AI solutions, including prompt engineering, skill integration, context engineering, and evaluations, to deliver AI-powered experiences that unlock data value for customers. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer at Microsoft's Commercial Engineering & AI (CEAI) team, focusing on building and operating distributed services and integrating AI capabilities like NLP, semantic search, and intelligent agents using Azure OpenAI and Semantic Kernel. The role involves end-to-end ownership of features, driving architectural decisions, and ensuring performance, scalability, and cost efficiency. It also includes mentoring engineers and contributing to DevOps and live site reliability. | Agent | 7 |
| Principal Product Manager Principal Product Manager for Microsoft AI's Trust and Safety team, focusing on AI-powered products for business growth and monetization. The role involves shaping the future of ads integrity, anticipating emerging abuse vectors like synthetic media and agentic attacks, and building platform-level safety solutions. Requires expertise in Trust, Safety, Integrity, or Fraud Prevention, driving multi-year strategies, and influencing cross-organizational change. The role operates within Microsoft AI (MAI), which handles Copilot, Bing, Edge, and other AI-first products, emphasizing collaboration with Product, Engineering, and Research. | Agent | 7 |
| Threat Intelligence Manager Lead a team of Threat Intelligence Security Analysts to track criminal threat actors and transform intelligence into insights and protective outcomes. Build and operationalize a hybrid human + agentic intelligence team, applying AI technologies, automation, and workflow innovation. Partner across engineering, product, security research, detections, data science, and incident response teams to translate intelligence into protections, investigations, product improvements, and strategic decisions. | Agent | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing AI agents to automate and improve data analysis within the Microsoft Content organization, leveraging LLM skills and driving efficiency for non-data scientists. | Agent | 7 |
| Senior Security Researcher Senior Security Researcher role focused on offensive security research, adversary emulation, and malware development. The role will leverage AI-enabled and agentic systems, including LLM-driven workflows, to scale attack development, automation, and simulation fidelity within a security context. The goal is to emulate modern adversaries and improve defensive capabilities. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role on the Power BI Core AI team at Microsoft. The role focuses on building AI-first capabilities to make enterprise data more accessible, governed, and useful for human users and AI agents. Responsibilities include AI-native development, writing secure and performant code for web clients and service-side components integrating with LLM-based agents, and driving product development and scaling. The role involves working across the full product stack to shape how AI transforms enterprise analytics at scale, including agentic AI experiences, benchmarking, and evals. | Agent | 7 |
| Software Engineer Software Engineer role focused on building AI-driven automation into HR platforms and engineering pipelines using LLMs and agentic AI. The role involves designing and implementing scalable solutions, developing CI/CD pipelines with AI capabilities, and leveraging AI technologies for workflow automation and productivity enhancement. | Agent | 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 |
| Principal Software Engineering Manager, Windows Platform & Developer Team Engineering Manager to lead a team of 7-10 engineers shaping how agents and claws are built, run, and securely governed on the Windows platform. The role involves owning technical direction for new agentic capabilities, leading cross-functional partnerships, mentoring engineers, and recruiting talent. | Agent | 7 |
| Senior Product Manager Senior Product Manager for Microsoft's Azure Data team, focusing on the Real-Time Intelligence (RTI) unified experiences team. This role will define product direction for enterprise AI operationalization, focusing on agentic workflows and real-time data for AI-powered operations. The product manager will lead cross-cutting scenarios, drive alignment across components, and shape how Fabric becomes the real-time backbone for AI. The role involves defining product direction in ambiguous problem spaces, translating AI and agentic trends into roadmaps, and enabling data-in-motion for intelligent, event-driven applications. | AgentData | 7 |
| AI-Powered Developer Productivity Architect - Digital Natives & ISVs (EMEA-HQ) This role focuses on architecting and implementing AI-powered developer platforms for digital native and startup companies, emphasizing agentic development workflows, multi-agent ecosystems, and autonomous coding agents to improve engineering productivity. The architect will guide teams in adopting these tools, integrating them with DevOps practices, and ensuring security and governance. | Agent | 7 |
| Applied Scientist Applied Scientist role focused on building GenAI and ML solutions for Azure customer experience, specifically in Security, Reliability, and Quality. The role involves driving AI projects from ideation to production, performing experiments, integrating models, and collaborating with cross-functional teams. Requires experience with AI Reasoning agents and LLMs/SLMs. | AgentPost-train | 7 |
| Senior Software Engineer Senior Software Engineer to design and deliver cloud-native services using Microsoft technologies, with a focus on integrating AI-powered capabilities like copilots, LLM integrations, and agent-based workflows. The role involves technical leadership, architectural decisions, and ensuring reliability and safety of AI features. | Agent | 7 |
| Cloud Solution Architect - Copilot Cloud Solution Architect focused on enabling enterprise customers to realize business value through Microsoft 365 Copilot and Agentic AI solutions. The role involves supporting customers from experimentation to scaled adoption by designing and delivering solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry. | Agent | 7 |
| Software Engineering II- Full stack Full Stack Engineer to build LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows and scalable LLM-backed data features, focusing on AI Engineering and modern LLM-based systems. | Agent | 7 |
| Principal Security Researcher Principal Security Researcher focused on designing and executing advanced adversary simulations using AI-enabled and agentic systems. The role involves evaluating AI-driven detections and defenses, translating attacker tradecraft into actionable insights, and contributing to the development of AI-driven security research workflows. | Agent | 7 |
| Principal Security Researcher Principal Security Researcher (Red Team) at Microsoft, focused on using AI and agentic systems to scale offensive security research, adversary emulation, and tooling development. The role involves designing and executing complex attack simulations, developing advanced offensive tools, and evaluating defensive systems, with a strong emphasis on AI-enabled automation and adaptive attack paths. | Agent | 7 |
| Software Engineer II, Foundry Agents - CoreAI Software Engineer II role focused on building foundational platforms for intelligent agents and generative AI systems within Microsoft Foundry. The role involves developing large-scale, cloud-native systems for the end-to-end agent lifecycle, including secure enterprise deployment, tool integration, model fine-tuning, and production observability/evaluation. It sits at the intersection of distributed systems, AI infrastructure, and developer platforms. | AgentServe | 7 |
| Senior Security Researcher Senior Security Researcher role focused on offensive security research using AI-enabled and agentic systems to emulate real-world cyberattacks. The role involves designing and executing adversary simulations, developing offensive tooling, conducting malware research, and leveraging threat intelligence. A key aspect is utilizing AI and LLM-driven workflows to scale attack development, automation, and simulation fidelity, while partnering with blue teams to improve detections and defensive capabilities. | Agent | 7 |
| Principal Consultant, Apps & AI This role focuses on delivering enterprise AI solutions using Azure OpenAI, Azure AI Services, and custom machine learning. It involves designing and implementing secure, advanced agentic AI systems and optimized RAG architectures, requiring expertise in full-stack application engineering, cloud-native architecture on Azure, and DevOps. The role also emphasizes solutioning, pre-sales, and technical leadership, with a requirement for relevant Azure AI certifications. | AgentServe | 7 |
| Principal Software Engineer Principal Software Engineer to lead architecture and delivery of a Teams-integrated product (Innovation Studio) that uses agentic AI workflows, Azure-native services, and modern web experiences to help organizations run hackathons and accelerate ideas. The role involves defining how the team uses agentic development itself for various SDLC stages. | Agent | 7 |
| Senior Site Reliability Engineering This role focuses on building and extending AI-driven agents for incident triage, classification, and automation within Microsoft's Azure Data engineering team. The goal is to replace manual operations with engineered solutions, improving the stability and efficiency of cloud-scale data infrastructure. | Agent | 7 |
| Architect - AI Business Solutions This role focuses on architecting and designing AI solutions, specifically leveraging Microsoft's Copilot and agent technologies, to address customer business challenges. The architect will assess customer AI readiness, translate business requirements into technical solutions using Power Platform, Azure, and Microsoft 365 Copilot, and ensure scalable, secure, and compliant deployments. The role involves close collaboration with customers, product engineering, and delivery teams to drive adoption and validate business value. | Agent | 7 |
| Senior Consultant, AI Business Solutions This role focuses on co-engineering Generative AI and agentic solutions for enterprise customers on Microsoft platforms. The consultant will translate ambiguous business needs into requirements, design and implement GenAI/agentic solutions, prototype rapidly, and ensure production-ready implementations with testing, monitoring, and secure deployment. Key responsibilities include identifying and mitigating AI-specific risks, building agentic workflows with tool invocation and guardrails, and implementing evaluation strategies for AI output quality and safety. | Agent | 7 |