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 |
|---|---|---|
| Research Intern - MSR Montreal / ML Team Research Intern position at Microsoft Research Montreal focusing on advancing LLM research in reasoning, interaction (RL training), and modularity, specifically for agentic coding LLMs. The role involves developing, improving, and exploring AI model capabilities, contributing to cutting-edge technologies, and potentially publishing research. | PretrainPost-train | 10 |
| Applied Scientist II This role focuses on building and evolving the core orchestration and intelligent systems that power Microsoft's enterprise Copilot, a large-scale AI assistant for Microsoft 365. The work involves advancing model training, developing model-driven features from concept to production, and enhancing the orchestrator for improved reasoning, speed, and multi-modal/agentic capabilities. The goal is to ship cutting-edge AI technology impacting hundreds of millions of users. |
| AgentPost-train |
| 9 |
| Principal Researcher - Artificial Specialized Intelligence - Microsoft Research Principal Researcher in Artificial Specialized Intelligence focusing on developing cutting-edge large foundation models and post-training techniques for specific domains and scenarios. The role involves integrating AI systems, developing research prototypes, and publishing findings in top-tier venues. | PretrainPost-train | 9 |
| Senior Researcher - Artificial Specialized Intelligence, Microsoft Research Senior Researcher in Artificial Specialized Intelligence focusing on developing cutting-edge large foundation models and post-training techniques for specific domains and scenarios. The role involves conducting research, collaborating with cross-functional teams, developing prototypes, and publishing findings. | Post-trainPretrain | 9 |
| Research Intern - Artificial Intelligence Research Intern position at Microsoft Research focusing on artificial intelligence projects including multimodality, world models, LLMs, and computer vision. The role involves conducting research, developing novel methodologies, and disseminating findings through publications. Requires enrollment in a master's or PhD program. | Pretrain | 9 |
| Senior Software Engineer Senior Software Engineer role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric, utilizing Apache Spark. The role involves implementing agentic workflows, scalable LLM-backed data features, and defining evaluation strategies for LLM features, while applying Responsible AI practices. | Agent | 8 |
| Senior Product Manager - Agentic Platform Product Manager for Microsoft's Agentic Engineering platform, focusing on building and scaling AI-powered developer tools and experiences for thousands of Microsoft engineers. The role involves defining product vision, strategy, and roadmap for the core orchestration layer, developer tools, plugin marketplace, and enterprise governance, with a strong emphasis on hands-on use of AI tools and driving adoption. | Agent | 8 |
| Software Engineering Manager Engineering Manager to lead a team focused on building and scaling an agentic engineering platform for AI-powered developer productivity across Microsoft. The role involves managing engineers, setting team direction, fostering experimentation, and partnering with other teams to advance AI in developer workflows. | Agent | 8 |
| Applied Scientist - Core AI Speech Research role focused on developing and industrializing novel speech algorithms, including integrating speech with LLMs for multimodal modeling, and applying these models to real products with continuous monitoring and evaluation. | Post-train | 8 |
| Software Engineer II - AI Engineering / Python/DS Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric, utilizing Apache Spark. The role involves implementing agentic workflows, scalable LLM features, and robust data pipelines, with a strong emphasis on AI engineering, evaluation, and operationalization of LLM systems. | AgentData | 7 |
| Software Engineer II - Full Stack (The Fabric Data Engineering Experience & Infrastructure) Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, LLM-backed data features, and operationalizing AI/ML features, with a focus on full-stack development including React-based UX and backend services in .NET/Python. | 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 |
| 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 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 |
| Software Engineer Software Engineer role focused on building an agentic engineering platform for AI-powered productivity across Microsoft's codebases, involving AI models and orchestration frameworks. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building an agentic engineering platform for Microsoft developers, leveraging AI models and orchestration frameworks to enhance software engineering workflows like code refactoring and understanding. The role involves designing, developing, and deploying platform capabilities, applying AI-assisted development tools, and mentoring other engineers. | Agent | 7 |
| Principal Software Engineer The AI Engineer will help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering, based on Apache Spark. This includes implementing agentic workflows and scalable LLM-backed data features like AI Functions integration, notebook copilots, and evaluation/telemetry. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role on the Microsoft Teams AI Platform team, focusing on building and operating high-scale backend services that enable AI agents to work seamlessly across Teams. The role involves designing and developing foundational infrastructure, collaborating with AI teams, and ensuring high standards of availability, reliability, and performance for features impacting millions of users. | AgentServe | 7 |
| Principal Researcher - Systems & Networking - Microsoft Research Principal Researcher in Systems and Networking with a focus on AI-driven methods for systems innovation, performance, efficiency, and scalability. The role involves developing new methodologies, collaborating with cross-functional teams, and publishing research findings. | Serve | 7 |
| Principal Researcher - Cloud and AI Infrastructure - Microsoft Research Principal Researcher at Microsoft Research focused on advancing cloud and AI infrastructure architecture, and chip design using AI technologies. The role involves investigating hardware trends, designing and optimizing hardware components, conducting simulations, developing prototypes, and collaborating with cross-functional teams to integrate intelligent systems across computing layers. | Serve | 7 |
| Research Intern - AI Hardware Research Intern role focused on AI Hardware, specifically on chip architectures for efficient AI serving and inference systems. The role involves research, analysis, documentation, and innovation in collaboration with researchers and engineers. | Serve | 7 |
| Senior Researcher - Systems and Networking, Microsoft Research Senior Researcher in Systems and Networking at Microsoft Research, focusing on AI-driven methods for system innovation, performance, efficiency, and scalability. The role involves developing and implementing new methodologies, collaborating with cross-functional teams, and publishing research findings. Requires a Doctorate and background in systems/networking with knowledge of ML systems, databases, and networking technologies, including Agent Systems and Vector Databases. | Serve | 7 |
| Senior Researcher - Cloud and AI Infrastructure, Microsoft Research Senior Researcher in Cloud and AI Infrastructure at Microsoft Research, focusing on advancing AI infrastructure architecture and chip design using AI technologies. The role involves investigating hardware trends, optimizing components, conducting simulations, developing prototypes, and collaborating with cross-functional teams to solve complex real-world challenges at the intersection of AI, human interaction, and environmental context. | Pretrain | 7 |
| Technical Consultant This role focuses on understanding customer requirements and mapping them to Microsoft Cloud and AI solutions, specifically Azure AI, Copilot Agents, application development, and data modernization. It involves supporting pre-sales, shaping proposals, identifying risks, communicating solution value, and accelerating the adoption of Microsoft technologies in agent-based solution scenarios. | Agent | 5 |
| Account Technology Strategist - Federal Government This role is for an Account Technology Strategist focused on the federal government sector in Canada. The primary responsibility is to act as a trusted technical and strategic advisor, helping government customers adopt and leverage Microsoft's AI technologies and drive digital transformation. The role involves understanding customer business outcomes, building relationships with technology executives, and developing technology roadmaps. While the role involves discussing and promoting AI solutions, the core function is sales and strategic advisory, not direct AI/ML model development or deployment. | — | 5 |
| Directeur - AI Workforce, Secteur Public Canada/ Manager - AI Workforce, Public Sector Canada Lead a national team of AI Workforce specialists to drive enterprise workforce transformation across Canada’s Public Sector, focusing on Microsoft 365 Copilot and AI Workforce solutions. Accountable for building pipeline, winning strategic opportunities, and scaling adoption to ensure customers realize measurable productivity gains, efficiency, and business value. | Ship | 5 |
| Enterprise Account Executive Enterprise Account Executive role focused on driving AI transformation and business outcomes for enterprise customers by selling Microsoft's AI, Copilot, and Security solutions. This role involves building senior-level relationships, developing account strategies, identifying new opportunities, and collaborating with internal cross-functional teams to deliver value and drive revenue growth. | — | 5 |
| Organizational Change Management Architect and Sales Lead This role focuses on organizational change management and sales leadership to help clients adopt Microsoft's AI and cloud solutions, driving business transformation and measurable outcomes. It involves designing and selling consulting services, leading delivery engagements, and ensuring clients achieve business value and competitive advantage through AI. | — | 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 |
| Senior Software Engineer Senior Software Engineer role on the Azure Data engineering team, focusing on data integration products like Azure Data Factory and Power Query. The team builds data gravity on the Microsoft Cloud, making it easy for customers to bring in, clean, shape, and join data. They are enhancing the platform for large-scale data analytics, cloud-based dataflows, and data intelligence, including features integrated with AI copilots. The role involves developing and operating scalable backend services and data platforms, partnering with PMs, driving design discussions, writing code, troubleshooting production issues, and collaborating across teams. | — | 5 |
| Senior Software Engineer Senior Software Engineer role on the Azure Data engineering team, focusing on data integration products like Azure Data Factory and Power Query. The team builds data infrastructure for millions of users on the Microsoft Fabric platform and is enhancing existing platforms to support AI copilots and large-scale data analytics. Responsibilities include developing and operating backend services, partnering with PMs, driving technical decisions, writing code, troubleshooting production issues, and mentoring peers. | — | 5 |
| Azure Data Solution Engineer This role focuses on designing and delivering modern, governed data platforms using Microsoft Fabric, Azure Databricks, and Azure SQL, enabling customers to modernize their analytics and data estates for AI-ready solutions. It's a technical sales role that guides organizations through data platform modernization, focusing on secure, scalable, and resilient cloud data architecture. | — | 5 |
| Cloud & AI Platform - AI Infrastructure Cloud Solution Architect This role focuses on designing, implementing, and scaling AI-ready Azure infrastructure platforms for enterprise clients. The Cloud Solution Architect will ensure secure, resilient, and cost-governed foundations for AI workloads, including GPU platforms, networking, storage, and security. The role involves leading technical engagements, removing blockers, and industrializing repeatable patterns to support production-grade AI solutions and accelerate Microsoft Cloud consumption. | Serve | 5 |
| Cloud Solution Architect (CSA) - Data Platforms & Analytics This role focuses on designing, modernizing, and operationalizing data platforms on Microsoft Azure to power analytics and AI for enterprise customers. The Cloud Solution Architect will work in a customer-facing capacity, leading architecture design, proof of concepts, and production deployments, ensuring the readiness of these platforms for AI use cases. The role involves collaborating with customers and engineering teams to deliver value and drive adoption of Azure data services. | — | 5 |
| Azure Apps and AI Solution Engineer This role is for an Azure Apps and AI Solution Engineer focused on designing and delivering modern, intelligent applications using Azure AI Foundry and agentic AI patterns. The engineer will partner with customers to modernize their application estates, enable AI-powered workloads, and guide them through application modernization decisions. Key responsibilities include designing secure, scalable, and resilient cloud application architectures that support AI workloads, translating technical capabilities into business outcomes, and leading technical sales efforts through demos and proof of concepts. The role requires hands-on experience with generative AI workloads on Azure, including RAG, multi-agent orchestration, and LLM engineering fundamentals. | AgentServe | 5 |
| Azure Solution Specialist - Healthcare This role is for a Solution Specialist focused on AI within the healthcare industry, helping customers modernize their infrastructure, optimize operations, and drive innovation using Cloud & AI capabilities. The role involves guiding customers through their AI journey, accelerating decisions, and orchestrating across internal teams to achieve sales targets. | — | 5 |
| Senior Software Engineer Senior Software Engineer to build and run scalable services for Microsoft 365, focusing on real-time communication products like Teams. The role involves applying large data and machine learning techniques to improve services, designing media streaming components, and analyzing production telemetry. | Serve | 5 |
| Software Engineer II Software Engineer II role in the Intelligent Conversation and Communications Cloud (IC3) team at Microsoft, focusing on building and running scalable services for Microsoft 365 products like Teams. The role involves developing real-time media stack components, designing client and server media streaming/communication components, and applying machine learning techniques for system improvements. | Serve | 5 |
| Software Engineer- Full stack Software Engineer on the Microsoft Fabric OneLake & ISVs team, focusing on building and maintaining the operating system for a unified data platform. The role involves customer-focused feature development, onboarding partners, and supporting strategic relationships to integrate solutions with OneLake and Fabric. Success requires delivering robust, low-latency solutions that enhance partner integration, leveraging modern AI tools like Microsoft Copilot and GitHub Copilot. | — | 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 |
| Principal Software Engineer The Principal Software Engineer role on the Azure Data engineering team focuses on building and optimizing big data analytics services, specifically within the Microsoft Fabric Spark team. The role involves pushing the frontiers of analytics performance and scale by working with open-source technologies like Spark, Gluten, Velox, and Delta, as well as proprietary Microsoft services. The goal is to improve onboarding and tuning of workloads, requiring an AI-forward approach to deliver impact at Azure scale. Responsibilities include designing, implementing, testing, and operating data services, mentoring engineers, and participating in live site operations. | — | 5 |
| Senior Software Engineer This role is for a Senior Software Engineer on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining the operating system for the unified data platform. The team focuses on observability, including telemetry creation, routing, storage, and consumption, supporting live-site monitoring, diagnostics, and analytics. The engineer will design and build scalable telemetry instrumentation services and pipelines, develop tools for metadata management, create job monitoring and notification services, and streamline operations through automation, leveraging Azure technologies and Fabric/Azure-Data stack. | — | 5 |
| Software Engineer II Software Engineer II on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining telemetry instrumentation services and pipelines, developing tools for metadata management, and creating job monitoring and notification services for data pipelines. The role focuses on providing high-quality data for running the service and business, supporting pillars like live-site monitoring, diagnostics, and analytics for product development, and ensuring customers have data for their own observability needs. The team applies classic cloud and software engineering practices alongside big data-engineering and analytical practices. | Data | 5 |
| Responsable Environnement Critique - Data Center - Critical Environment Technician Manager This role is for a Data Center Critical Environment Technician Manager at Microsoft, responsible for managing a team that ensures the operational integrity of data center infrastructure, including electrical and mechanical systems. The role involves people management, equipment maintenance, and responding to critical environment incidents. It is not directly related to AI/ML development. | — | 0 |
| Corporate Affairs Director Director of Corporate Affairs for Microsoft Canada, focusing on public policy and government relations. The role involves shaping public policy debates, engaging with government officials and influencers, and developing strategies on issues including AI, data privacy, cybersecurity, and trade. Requires strong communication, strategic planning, and relationship-building skills. | — | 0 |
| Senior Software Engineer - Backend Senior Backend Engineer for Microsoft Ads' high-throughput, low-latency real-time bidding platform. Focuses on architectural evolution, modernization, performance, scalability, and operational excellence. Requires deep expertise in distributed systems and leadership in large-scale refactoring. Collaborates with data science, experimentation, and business stakeholders. | — | 0 |
| Senior Software Engineer Senior Software Engineer role focused on building high-performance advertising SDKs and platform capabilities for digital advertising at Microsoft. The role involves leading design, architecture, development, and enhancement of Windows Ads SDK components, improving ad delivery experience, and collaborating with cross-functional teams. Emphasis on performance, reliability, scalability, security, privacy, and compliance. | — | 0 |
| Cloud & AI Digital Solution Area Specialist This role is a sales and account management position focused on helping mid-market customers adopt Microsoft's AI, data, and cloud solutions. The specialist will drive strategic customer conversations, advance opportunities, and achieve revenue targets by connecting Cloud & AI solutions to customer business outcomes. | — | 0 |
| Senior Software Engineer Senior Software Engineer role focused on building scalable and reliable data integration systems (Azure Data Factory, Power Query) for Microsoft's cloud-based data platforms. Responsibilities include designing, developing, and maintaining data ingestion, transformation, and orchestration services, contributing to distributed systems, and ensuring system reliability and performance. Requires a Bachelor's Degree and 4+ years of experience in software engineering, with preferred experience in distributed systems, cloud services, and data processing. | — | 0 |