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 Technical Program Manager (Quantum) This role is for a Principal Technical Program Manager (TPM) at Microsoft Quantum, focused on advancing quantum hardware infrastructure from research to scalable systems. The TPM will lead cross-functional engineering efforts, shape device development, and drive execution across internal teams and external partners. The role involves strategic planning, cross-disciplinary coordination, supplier management, and leveraging AI/ML for development acceleration, quality, and yield optimization. It sits at the intersection of research, engineering, and manufacturing, aiming to scale topological qubits and quantum systems. | — | 5 |
| Senior Software Engineer Senior Software Engineer on the Surface Devices team responsible for designing, scaling, and maintaining CI/CD infrastructure for Windows OEM factory images. The role involves integrating Azure AI capabilities for intelligent log analysis, anomaly detection, and automation within the DevOps ecosystem. | Serve |
| 5 |
| Senior Solution Engineer - AI Workforce Senior Solution Engineer focused on driving AI transformation for enterprise customers using Microsoft 365 Copilot, Copilot Studio & Agents, and related solutions. The role involves leading technical engagements, designing scalable architectures, and acting as a trusted advisor to accelerate adoption and win technical decisions. | Agent | 5 |
| Principal Software Engineer Principal Software Engineer to design, build, and operate core compute platform services for developers, enabling them to host and run various apps including AI Agent Apps at cloud scale. The role requires end-to-end technical leadership, hands-on component design and coding, and mentoring others on engineering and site reliability practices, with a focus on AI as a core building block. | Serve | 5 |
| Senior Talent Acquisition Manager, Core AI Senior Talent Acquisition Manager for Microsoft's CoreAI division, responsible for leading a team of recruiters to hire talent in AI systems engineering, AI science, and agent-native development. The role involves partnering with leaders to define sourcing strategies, calibrate hiring standards, and attract candidates from top AI programs and companies. | — | 5 |
| Customer Experience Engineer II, M365 This role focuses on enhancing the customer support experience for M365 services, including Copilot, by working with strategic customers to ensure they realize value and succeed with the platform. The engineer will act as a Subject Matter Expert, troubleshoot technical issues, and provide feedback to product teams to drive improvements. | — | 5 |
| Senior Data Scientist Senior Data Scientist role in the Bing organization focused on predictive and forecast models, product analysis, and A/B experimentation to understand user engagement with search engines and AI experiences. The role involves translating insights into actionable metrics to guide product and strategic decisions, and developing tools for metric analysis. | Ship | 5 |
| Senior Customer Experience Engineer This role focuses on customer success and technical support for Microsoft Security products, including generative AI solutions like Microsoft Security CoPilot. The Senior Customer Experience Engineer acts as a trusted advisor and engineering advocate, managing technical escalations, leading incident response, and representing the voice of the customer to influence product direction. The role requires deep technical expertise in security, cloud technologies, and customer-facing problem-solving. | — | 5 |
| Principal Quantum Materials Nanofabrication Engineer This role focuses on developing and optimizing nanofabrication processes for quantum computing devices. While the core function is in materials science and engineering, it explicitly mentions using AI tools to enhance efficiency in process development, data analysis, and documentation, including the design or leverage of AI agents/copilots for various tasks. | — | 5 |
| Senior Service Engineer Senior Service Engineer role focused on administering and governing Microsoft 365 and AI administration surfaces, including Microsoft 365 Copilot and Copilot Studio, across multiple internal tenants. The role involves defining configurations, driving automation and policy as code for baselines and drift detection, and responding to AI plane risks at scale. It requires a strong security mindset and collaboration with software engineers. | Ship | 5 |
| Principal Software Engineer This Principal Software Engineer role focuses on modernizing a global messaging platform for Microsoft 365, integrating AI across the software development lifecycle and ensuring responsible AI practices. The role involves leading architecture, design, and implementation of cloud-native capabilities, partnering with various teams, and driving live-site engineering for a large-scale distributed service. | — | 5 |
| Principal Software Engineer - CoreAI Principal Software Engineer for Microsoft's CoreAI Growth and Data Science team, focusing on data and analytics architecture, large-scale data pipelines, and leveraging AI to optimize workflows. The role involves cross-team collaboration, mentoring, and ensuring data governance and trust for AI workloads within the developer ecosystem. | Serve | 5 |
| Principle Azure Data Solution Engineer This role is for an Azure Data Solution Engineer focused on designing and delivering modern, governed data platforms using Microsoft Fabric, Azure Databricks, and Azure SQL. The engineer will partner with customers to modernize their analytics and data estates, enabling them to adopt AI-ready Azure data solutions. The role involves guiding organizations through data platform modernization, designing and optimizing AI-ready analytics solutions, and translating technical capabilities into business outcomes. It emphasizes collaboration, technical sales, and deep expertise in Azure Data services to support AI workloads. | — | 5 |
| Software Engineer Software Engineer role focused on building and operating distributed services and microservices on Azure, integrating AI capabilities like NLP, semantic search, and intelligent agents. The role involves end-to-end feature ownership, platform contributions, and ensuring performance, scalability, and cost-efficiency. Experience with AI development tools, LLM-powered applications, RAG pipelines, prompt engineering, and agent frameworks is preferred. | Ship | 5 |
| Cloud Solution Architect - Cloud & AI This role is a Cloud Solution Architect focused on AI and Azure workloads. The primary responsibility is to guide enterprise customers in their AI transformation journey, advising on architecture design, deployment, and scaling of AI solutions on Microsoft Azure. The role involves building trusted relationships with executives, driving technical excellence, and accelerating Azure consumption for AI initiatives. | ShipServe | 5 |
| Solution Engineer - Cloud & AI Infrastructure Solution Engineer focused on Azure Platform for commercial customers, designing secure, scalable, and resilient cloud architectures to support AI workloads and business-critical applications. This role involves guiding organizations through migration, modernization, and optimization using Azure's IaaS and PaaS services, with a focus on AI-powered infrastructure and intelligent agents. | — | 5 |
| Senior Software Engineer - Native Senior Software Engineer to create innovative machine learning-powered features across Windows and other Microsoft products, focusing on native code development for OS, platform layers, app experiences, and service integrations. The role involves rapid prototyping, human-centered development, and shipping features used by billions. | Ship | 5 |
| Senior Software Engineer Senior Software Engineer role focused on building and operating platforms that power Microsoft's business operations. The role involves designing, building, and operating software to launch and manage products, working with partner engineers and product managers. A key aspect is the disciplined use of AI-assisted development tools (e.g., GitHub Copilot, agentic coding workflows, GenAI-based code review and test generation) and applying Responsible AI practices. The engineer will also integrate AI capabilities like LLMs and agents into production systems, improve developer velocity through automation and AI-powered workflows, and use telemetry for troubleshooting and performance improvement. Mentoring and raising the team's engineering bar are also expected. | — | 5 |
| Senior Applied Threat Intelligence Analyst - Microsoft Security Threat Response This role focuses on building and refining pipelines and tooling for cyber threat intelligence, transforming raw signal into actionable intelligence for customers. While it uses AI tools and deals with data, the core craft is not AI/ML model development but rather the engineering of intelligence delivery systems. | — | 5 |
| Principal Software Engineering Manager The Principal Software Engineering Manager will lead teams building and scaling Azure Database for PostgreSQL, a globally distributed, fully managed database service. This role involves owning core database engine capabilities and PostgreSQL extensions development, driving engagement with the open-source PostgreSQL community, and setting technical strategy for reliability and performance. The role also emphasizes driving an automation-first engineering approach by leveraging AI across the engineering lifecycle, including design assistance, code quality improvements, test and validation automation, and migration tooling, while modernizing service telemetry, observability, and core service infrastructure. | — | 5 |
| Sr. Consultant This role involves consulting on and delivering enterprise AI solutions using Microsoft Cloud and AI services. The consultant will articulate value propositions, drive adoption of Microsoft Cloud, ensure solutions align with architecture, identify and mitigate risks, and provide stakeholder assistance throughout deployment. Key responsibilities include translating business requirements into technical and AI-enabled application solutions, and integrating AI services or APIs into applications. Experience with AI-assisted development and data platforms supporting AI workloads is required. The role supports government customers in a regulated environment. | — | 5 |
| Software Engineering IC4 Software Engineer IC4 at Microsoft, focusing on building the platform for Microsoft's advertising business. The role involves designing and building backend services on Azure, driving an Azure Kubernetes migration, and delivering full-stack features. While the core is platform engineering, there are opportunities to work on AI-powered product features like Copilot and LLM integrations, and the role emphasizes using AI-powered development workflows. | — | 5 |
| Consultant A2 - Data & AI Consultant role focused on delivering end-to-end data and AI solutions using Microsoft technologies. Responsibilities include solution design, development, deployment, and ensuring customer value through technical expertise and customer focus. The role involves working with Azure Data Services, AI/ML foundations, and operationalizing ML pipelines. | Data | 5 |
| Consultant A2 - Infra This role focuses on designing, building, and optimizing end-to-end cloud and on-premises infrastructure solutions, with a significant emphasis on supporting AI/ML workloads. The consultant will leverage Azure AI Services, containerized AI workloads, and integrate models into cloud environments, acting as a full-stack infrastructure consultant. | Serve | 5 |
| Consultant - Apps Full Stack Engineer A2 Full Stack Engineer role focused on designing, developing, and deploying modern cloud-based applications on Microsoft Azure, with a significant emphasis on integrating AI capabilities. The role involves working with Azure AI services, RAG patterns, agent-based patterns, and prompt engineering to build AI-enabled applications for enterprise customers. | Agent | 5 |
| Senior Consultant Data Senior Consultant Data & AI at Microsoft, focusing on delivering end-to-end data and AI solutions for clients. Responsibilities include designing, developing, and deploying solutions on Microsoft technologies, building AI-powered data pipelines, feature engineering, operationalizing ML pipelines, and working with LLMs, NLP, Computer Vision, RAG, and Gen AI frameworks. The role emphasizes Azure Data Services, Data Warehouse, and MLOps concepts. | Data | 5 |
| Member of Technical Staff, Developer Experience Engineering Manager This role is for a senior technical leader to manage and define the vision for developer experience for large-scale AI Research. The team owns foundational systems like monorepo, CI/CD, build systems, and developer environments, serving hundreds of engineers and researchers. The role involves leading a team, driving AI-first development practices, and improving engineering velocity through agentic AI workflows and optimizing training/experimentation workflows. | — | 5 |
| Sr Consultant - Infra Sr. Consultant focused on designing, building, and optimizing cloud and on-premises infrastructure solutions, with a specific emphasis on AI workloads. This role requires expertise in Azure AI Services, integrating frontier models, and managing AI developer tools as infrastructure components. The consultant will ensure secure, scalable, and high-performing environments for AI applications. | Serve | 5 |
| Consultant - Apps Full Stack Engineer Full Stack AI Application Developer role focused on designing, developing, and deploying modern cloud-based applications on Microsoft Azure. This role involves integrating AI capabilities like search, chat, and recommendations using Azure AI services, RAG patterns, and agent-based workflows. The position requires hands-on experience with full-stack development (.NET, Node.js, Angular/React) and Azure AI services, including prompt engineering and responsible AI principles. | Agent | 5 |
| Principal, Data Science & Analytics This role focuses on ecosystem data science within Microsoft AI, owning cross-product measurement strategy, shared systems, and experimentation frameworks. The principal will apply machine learning, statistical modeling, and experimentation to large datasets to define and deliver metrics that measure user and business value across products. Responsibilities include mentoring, developing data strategies, designing and executing experiments, collaborating with product and engineering teams, and establishing standards for data quality and operationalizing ML models. The role aims to optimize MAI-level outcomes and drive data-driven decision-making. | Ship | 5 |
| Principal Software Engineer The Principal Software Engineer will shape the end-to-end developer experience on Windows, focusing on platform capabilities, frameworks, tools, workflows, and AI-powered experiences. The role involves identifying and leading system-level improvements to enhance developer productivity and success on Windows, with a focus on AI-infused tools and agent-driven workflows. | Agent | 5 |
| Multidisciplinary Manager, Industry Solutions Engineering (ISE) / SWE Manager for an Industry Solutions Engineering team focused on delivering customer outcomes using AI and cloud technologies. The role involves leading a multidisciplinary team, coaching engineers, and championing AI-forward practices to build customer solutions. | Ship | 5 |
| Multidisciplinary Manager, Industry Solutions Engineering (ISE) / TPM This role leads a multidisciplinary engineering team focused on developing and delivering high-impact customer outcomes using AI-forward hypervelocity engineering. The team will apply responsible AI practices and integrate emerging AI capabilities into customer solutions, acting as a player-coach and enabling technical program managers. | Ship | 5 |
| Principal Technology Consultant-CTJ-Poly This role focuses on designing and implementing enterprise-scale cloud architectures, specifically leveraging Azure AI services and generative AI solution patterns. The consultant will guide customers on secure, compliant, and responsible AI adoption, including integration with Microsoft 365 Copilot, and advise on adoption, governance, and value realization. The role involves customer engagement, technical quality assurance, leading meetings, managing escalations, and driving the adoption of Microsoft cloud technologies. | Ship | 5 |
| Principal Software Engineer Principal Software Engineer role focused on leading the architecture, design, and implementation of high-scale, low-latency services with an AI First approach within Microsoft's Identity engineering team. The role involves driving AI/ML-based engineering solutions, cloud environments (Azure), and large distributed systems, with a strong emphasis on security and reliability. | Serve | 5 |
| Software Engineer II - CoreAI This role focuses on building core services for an AI evaluation platform, specifically for agent observability within Microsoft's CoreAI group. The engineer will design, implement, and deliver AI services to support product offerings for large-scale agent observability, collaborating with product management and partner teams, and taking end-to-end responsibility for development lifecycle and production readiness. | Eval GateAgent | 5 |
| AI Governance Consultant (Japan) AI Governance Consultant to help enterprise customers build and operate AI governance frameworks, focusing on responsible AI use, risk management, and compliance with regulations like NIST AI RMF, ISO/IEC 42001, and EU AI Act, using Microsoft products such as Agent365, Purview, M365 Copilot, and Azure AI. | Agent | 5 |
| Cloud Solution Architect Cloud Solution Architect specializing in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. This customer-facing role involves architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security. The role leverages existing IP and execution engines to drive delivery excellence, accelerate adoption, and ensure successful deployments for services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. Collaboration with engineering teams and staying current with trends are key to helping customers unlock the full value of their data and AI investments. | — | 5 |
| Senior Solution Engineer - Security Senior Solution Engineer for Security at Microsoft, focused on driving security modernization for customers by leveraging AI applications and agents in their development workflows. The role involves technical sales, customer engagements, solution design, and acting as a trusted advisor to accelerate AI adoption and improve security posture. | — | 5 |
| Senior Software Engineer - CTJ - TS/SCI Senior Software Engineer role on the Cloud+AI Silver Dataverse Team, responsible for deploying and operating Dataverse services in an air-gapped, highly secured, and regulated environment. The role involves working on a hyperscale SaaS data and AI platform that underpins Microsoft Power Platform and Dynamics 365, serving Fortune 500 companies for CRM/ERP needs. Key responsibilities include leading architecture, ensuring security and compliance, driving automation, and utilizing AI tools for engineering productivity. Requires experience in complex IT environments, distributed/air-gapped systems, and cloud technologies, with a strong emphasis on security and compliance due to the nature of the customers and environment. Active Top-Secret clearance is mandatory. | — | 5 |
| Software Engineer II Software Engineer II for Microsoft's Azure Data engineering team, specifically within the Core AI group of the Power BI organization. The role focuses on building and operating agentic workflows and modern data applications to enable next-generation data visualization and analytics, powering AI-first data apps and decision intelligence. | Agent | 5 |
| Senior Software Engineer Senior Software Engineer on the Power BI Core AI team, focusing on building agentic creator workflows and AI-first data applications to enhance data visualization and analytics. | Agent | 5 |
| Software Engineer II Software Engineer II role on the Windows System Health Experiences team, focusing on maintaining, modernizing, and evolving core Windows diagnostic and troubleshooting tools like Task Manager. The role involves designing and building AI-assisted troubleshooting tools and supporting next-generation diagnostic tools, while also working with C++/C# code, ensuring system reliability, and participating in on-call rotations. Experience with AI-assisted development and debugging tools is preferred. | — | 5 |
| Software Engineering - DevDiv Core AI Software Engineer in Microsoft's DevDiv division focused on integrating AI into developer tools to enhance productivity. The role involves designing and developing software components, leveraging AI technologies like GitHub Copilot and LLM-based code tools, dogfooding internal AI tools, and researching/experimenting with AI techniques to improve engineering workflows. | Ship | 5 |
| Software Engineer II - CTJ - POLY Software Engineer II role focused on building tools and systems for M365 sovereign cloud operations, including internal platforms, automation, and agentic workflows. The role involves writing code to solve operational challenges, ensuring reliability, and potentially leveraging GenAI. It also includes on-call responsibilities for live site operations, monitoring, and incident response, with a focus on security and compliance within sovereign cloud environments. | Agent | 5 |
| Software Engineer II Software Engineer II role focused on designing, developing, and optimizing networking infrastructure for large-scale AI training and inference in Azure Cloud. The role involves ensuring high performance, low latency, and minimal jitter for distributed AI workloads, working with cutting-edge networking hardware and software. | Serve | 5 |
| Principal Consultant - Data & AI This role is for a Principal Consultant within Microsoft's Industry Solutions - Global Center Innovation and Delivery Center (GCID). The primary focus is on leading the technical execution and delivery of complex client projects, embedding AI-native thinking into delivery models, and ensuring solutions are intelligent, scalable, and aligned with business outcomes. The role involves driving engineering excellence, innovation, client engagement, and team mentorship, with a strong emphasis on delivering AI-powered solutions that achieve specific business KPIs. | Ship | 5 |
| Software Engineer - CTJ - Poly Software Engineer on the M365 Air Gapped Clouds team, responsible for building internal tools, implementing agentic workflows, and developing software solutions to improve M365 operations in sovereign environments. The role involves writing and shipping code for backend services, focusing on feature delivery and platform evolution within the Substrate & Security team, which supports core search, Copilot, and infrastructure orchestration. | Agent | 5 |
| Site Reliability Engineer II- CTJ - Secret Site Reliability Engineer II for Microsoft's IDEAS organization, focusing on automation, incident response, and reliability improvements for services in regulated government cloud environments. Supports Microsoft 365, Azure, and Windows platforms. | — | 5 |
| Principal Software Engineer This role focuses on managing and developing the core platform and fleet of AI High Performance Computing products for Microsoft Azure. The engineer will design and develop high-volume, low-latency telemetry pipelines to provide insights into customer-facing issues across the infrastructure stack, from datacenter events to hardware and networking subsystems. The goal is to improve job reliability and reduce job interrupts on flagship supercomputers used by top-tier AI customers. The role requires expertise in large-scale HPC & GPU systems, cloud computing, and high-performance data processing infrastructure. | — | 5 |