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 17% 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 Software Engineer Senior Software Engineer on the Bing Multimedia team, focusing on building and evolving large-scale offline infrastructure for image and video search. The role involves designing, building, and operating scalable platforms that process vast amounts of data, with a strong emphasis on engineering metrics like latency, cost, availability, and quality. The team leverages state-of-the-art ML models and AI-assisted engineering practices to deliver world-class visual search experiences. | Serve | 5 |
| Director, Executive & Product Communications - Copilot (Microsoft AI) This role is for a Director of Executive & Product Communications for Microsoft Copilot, focusing on shaping the narrative and perception of the AI companion and its executive leadership within the tech, developer, and startup ecosystems. It involves developing communication strategies, drafting content, and engaging with communities to build visibility and credibility. | — |
| 5 |
| Product Manager II Product Manager II for Azure Data's Cosmos platform, focusing on building and maintaining operational database systems. The role involves driving end-to-end product delivery, program management, capacity planning, and collaborating with engineering and stakeholders. The team actively uses AI tools and aims to build an AI-enabled data platform for mission-critical workloads. | — | 5 |
| Software Engineering This role is for a Senior Software Engineer focused on building AI-infused enterprise applications, Agentic Solutions, and Copilots within Microsoft's Commercial Sales Experiences (CSX) team. The engineer will lead the full software development lifecycle, from requirements to deployment, emphasizing engineering best practices, scalability, and security. The role involves leveraging AI technologies and Azure PaaS services to enhance user experience and productivity, contributing to Microsoft's Cloud and AI strategy. | ShipAgent | 5 |
| Senior Security Research- Microsoft Security Senior Security Researcher focused on detecting and autonomously protecting against sophisticated enterprise identity-based attacks using Generative AI tooling. The role involves end-to-end research projects, data analysis, threat hypothesis, and crafting detection logic. | Agent | 5 |
| Principal Lead TPM Principal Lead Technical Program Manager for Windows Servicing and Delivery (WSD) organization. This role focuses on managing a large-scale service to keep over 1.8 billion Windows devices secure and productive. The TPM will lead a team responsible for security, reliability, customer issues, data insights, and feature development. The role emphasizes an AI-First approach, incorporating AI-assisted methodologies and tools to enhance product strategy, customer understanding, decision-making, and engineering efficiency, while maintaining security, privacy, and compliance. The TPM will drive long-term vision, strategy, and roadmap, foster partnerships, and use data to drive decisions. | — | 5 |
| Audience Strategy & Operations Manager This role manages audience skilling programs and operations for Microsoft's AI Skills Navigator, focusing on content execution, campaign prioritization, and program delivery to accelerate skill acquisition for workforce audiences. It involves establishing an Audience Insights Center of Excellence and aligning with product teams on roadmap and deliverables. | — | 5 |
| Copilot Cloud Solution Architect This role focuses on designing and delivering cloud and AI application solutions for enterprise customers using Microsoft Azure. The Solution Architect will guide customers in integrating AI capabilities, enabling AI-powered scenarios, and accelerating business outcomes through scalable and secure cloud solutions. The role involves architecting solutions, driving AI innovation, and supporting AI use cases like personalization and automation. | Agent | 5 |
| Senior Data & Applied Scientist Senior Data & Applied Scientist role focused on product/program analytics and insights for Microsoft's Global Skilling initiatives, including the AI Skills Navigator. The role involves understanding learner behavior, defining success metrics, designing experiments, and partnering with engineering and product teams to improve learning experiences and accelerate proficiency. It leverages data science techniques to measure product performance and learning outcomes. | Ship | 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 |
| 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 |
| Principal Technical Program Manager This role is for a Principal Technical Program Manager at Microsoft's Office of the CTO, focused on leading the Simultaneous Shipping (SimShip) process for a strategic AI partnership, likely involving OpenAI technology. The TPM will orchestrate global releases, ensuring alignment across engineering, product, compliance, and partner teams, while meeting Responsible AI and governance requirements. The role requires managing complex, fast-paced AI initiatives, coordinating with internal and external stakeholders, and ensuring global readiness across various dimensions. While the role is deeply involved in shipping AI products, the core craft is program management and operational execution rather than direct AI/ML model development. | — | 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 |
| Principal Quantum Materials Engineer This role focuses on leading the development of superconductor-semiconductor heterostructures for quantum computing. While the role operates in an AI-first R&D environment and uses AI tools for discovery and optimization, its core craft is in quantum materials engineering, not AI/ML model development. | — | 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 |
| Senior Analyst Relations Manager This role focuses on driving strategic engagement with industry analysts to shape their perception of Azure's leadership in Cloud & AI, particularly in mission-critical, regulated, and next-generation operational environments. The Senior Analyst Relations Manager will partner with engineering, product, marketing, and sales teams to improve positioning in rated research and amplify Azure's value, with a focus on areas like sovereign initiatives, enterprise workload migration, agentic cloud operations, and hybrid/edge computing. | — | 5 |
| Finance Director - Data Analytics & AI Transformation Finance Director role focused on advancing Treasury's analytics maturity and scaling AI-enabled transformation across Treasury operations. The role leads a team to deliver data-driven insights, intelligent automation, and scalable analytics solutions that improve financial decision-making, productivity, and business outcomes. It partners across Finance, Engineering, and business stakeholders to build a modern, data-driven function under Treasury aligned to Microsoft’s transformation agenda. | — | 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 |
| Senior Product Marketing Manager Senior Product Marketing Manager for Microsoft AI, focusing on Copilot and Agents. This role will shape the narrative, influence the product roadmap, and create demo assets to enable customers and sellers, driving adoption and revenue. Responsibilities include developing demo strategies, managing assets, delivering compelling product stories, and contributing to the next-generation demo platform. The role requires strong strategic thinking, storytelling, and cross-functional collaboration to accelerate deals and represent customer needs. | — | 5 |
| Product Marketing Manager Product Marketing Manager for Microsoft AI, focusing on Copilot and Agents. The role involves shaping product narratives, influencing roadmaps, creating demo assets for customers and sales teams, and driving adoption. Key responsibilities include strategy development, BOM/asset management, narrative and storytelling, demo platform strategy, collaboration with various departments, and customer advocacy. | — | 5 |
| Principal Product Manager - CoreAI This role is for a Principal Product Manager focused on building a unified AI platform by managing ISV partnerships, driving their integration and adoption on Azure & Foundry. The role involves operational excellence, executive alignment, and cross-functional collaboration to ensure partner success and accelerate AI workload adoption. | Ship | 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 |
| Member of Technical Staff, Microsoft Robotics (Creative Design) This role is for a Member of Technical Staff, Microsoft Robotics (Creative Design) at the Senior level. The primary focus is on the end-to-end design of innovative user experiences for robotic operations, fleet management, and mission management. The role involves defining how operators, field engineers, and mission planners monitor, command, and coordinate heterogeneous fleets of robots, agents, and humans. The designer will craft intuitive dashboards, task-assignment workflows, real-time telemetry views, and alerting systems to enable human teammates, augmented with AI agents, to maintain situational awareness and optimize robot fleet utilization. The role operates at the intersection of robotics, globally connected operations, and enterprise UX, shaping the operational interface of Microsoft's robotics platform. While AI agents are mentioned as augmentations, the core responsibility is the design of the operational interface and workflows, not the AI models or agentic systems themselves. | — | 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 |
| Director, People Analytics This role is for a Director of People Analytics within Microsoft Commercial Business (MCB). The primary focus is on translating workforce data into actionable insights to inform strategic decisions, drive business outcomes, and shape workforce strategy. The role involves leading a team, partnering with senior HR and business leaders, and evolving the analytics delivery model towards AI-infused decision support. While AI is mentioned as a tool for decision support, the core function is not building AI models but rather using data and analytics (potentially AI-enhanced) to support business strategy. | — | 5 |
| Microsoft Consumer Marketing - Creative Director (Art Director) Creative Director (Art Director) for Microsoft Consumer Marketing, responsible for shaping visual storytelling and digital experiences across Microsoft's consumer portfolio, including Copilot, Surface, Windows, and Microsoft 365. This role involves leading creative direction, partnering across various teams, and mentoring junior creatives. The candidate will incorporate AI tools into the creative process. | — | 5 |
| Microsoft Consumer Marketing - Creative Director (Copy) Creative Director (Copy) for Microsoft Consumer Marketing, focusing on shaping brand communications for consumer products including Copilot, Surface, Windows, and Microsoft 365. The role involves transforming complex technology into clear, resonant stories, developing integrated campaigns, product narratives, and digital-first brand systems. It's an individual contributor role requiring strong writing, editing, and creative strategy skills, with collaboration across marketing, product, and engineering teams. The candidate will also guide junior creatives and partners, and incorporate AI tools into creative workflows. | — | 5 |
| Senior Corporate Counsel, Infrastructure Legal Affairs Senior Corporate Counsel for Azure Hardware and Systems Infrastructure, focusing on legal advice for cloud and AI infrastructure capacity, technology development, manufacturing, supply chain, and IP. The role involves leading a team, managing complex negotiations, and implementing solutions, including feedback on AI tooling for efficiency. | — | 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 |
| 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 |
| Principal Product Designer Principal Product Designer for Microsoft AI Monetization, focusing on building next-generation AI-powered products for advertising and monetization across various Microsoft consumer surfaces like Copilot, Bing, and MSN. The role involves end-to-end design ownership, driving innovation, and shipping world-class AI-powered consumer experiences. | Ship | 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 |