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.
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.
| Title | Stage | AI score |
|---|---|---|
| Senior Researcher: Machine Learning Senior Researcher focused on foundational machine learning research, emphasizing efficiency, intelligence, and alignment, with a strong publication record and collaboration across disciplines. The role involves spearheading research initiatives, translating theoretical concepts into tangible solutions, and mentoring interns. | Pretrain | 9 |
| Cambridge Residency Programme - Researcher in Agentic AI Systems & Infrastructure Researcher in Agentic AI Systems & Infrastructure focusing on multiagent system designs, memory, communication, and orchestration using ML and systems techniques. Prototyping components for multiagent inference with system-level optimizations and exploring ML & systems codesign. Evaluating ideas through experiments and benchmarks. | Agent |
| 9 |
| AI for Science Residency - Machine Learning Resident Research scientist role focused on developing machine learning models for materials science, including generative models and potentially agent-driven research, with a strong emphasis on publications and interdisciplinary collaboration. | Post-trainData | 9 |
| Cambridge Residency Programme - Postdoc Researcher, Generative Experiences & Collaborative Workflows Researcher for People-Centric AI at Microsoft Research Cambridge focusing on developing tools that use generative AI to create dynamic user experiences, co-created with user input, particularly for activity-centric and collaborative scenarios. The role involves blending research disciplines, design, and engineering to shape human-AI interaction. | AgentPost-train | 9 |
| Research Science PhD Internship Opportunities - Coding Agents Research internship focused on advancing coding agents that can understand codebases and autonomously execute software engineering tasks. This involves building LLM-based agents for feature implementation and bug fixing, enhancing their ability to plan and use developer tools, and improving reliability through feedback. | Agent | 9 |
| Research Intern - AI Agents & Efficiency Research intern role focused on building advanced LLM agents with memory, tool use, and multi-agent collaboration, and driving efficiency in LLM applications through context engineering, adaptive inference, and system optimization. | AgentServe | 9 |
| Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team This role focuses on building and scaling the high-performance computing (HPC) infrastructure required for training frontier AI models and powering AI products like Copilot. The engineer will design, operate, and maintain large-scale HPC environments, including schedulers and core domains like GPU compute, storage, and networking. Responsibilities include developing automation tools, supporting researchers and engineers, and troubleshooting cluster issues to ensure efficient job scheduling and performance. | Pretrain | 9 |
| Member of Technical Staff -Member of Technical Staff - Pretraining Text Data Seeking engineers and researchers to join the Pretraining Text Data team to build the next generation of foundation large language models. The role focuses on designing and curating high-quality datasets, developing novel data collection strategies, improving dataset quality and integrity, understanding data-driven model behaviors, training models on data impact, and aligning datasets with ethical and societal values. This is a cross-disciplinary, high-impact role at the intersection of data and innovation. | Data | 9 |
| Member of Technical Staff, Software Co-Design AI HPC Systems - MAI Superintelligence Team This role focuses on the co-design and productionization of next-generation AI systems at datacenter scale, optimizing performance, efficiency, and cost across hardware and software. It involves analyzing workloads, driving architectural decisions, optimizing distributed systems for training and inference, and influencing AI hardware design. The role also includes performance modeling, prototyping, and mentoring. | ServePretrain | 9 |
| Member of Technical Staff - AI Pretraining - MAI Superintelligence Team Microsoft AI is seeking individuals to train the world's most capable AI frontier models, focusing on scale, performance, and product deployment. The role involves developing algorithms, model architectures, and data mixtures for large-scale training, driving implementations, conducting experiments, and collaborating with infrastructure, data, post-training, and multimodality teams. | Pretrain | 9 |
| Member of Technical Staff, AI Multimodal - MAI Superintelligence Team Research role focused on training frontier multimodal AI foundation models at scale, pushing boundaries of performance and deployment. Involves algorithm development, model architecture design, experimentation, data innovation, and improving training/deployment efficiency. | Pretrain | 9 |
| Member of Technical Staff, AI Post-Training - MAI Superintelligence Team Post-Training - Develops and ships post-training methods for large language models (LLMs) used in Microsoft Copilot, focusing on data collection, evaluation, finetuning algorithms, and prototyping new capabilities. Collaborates with pretraining and product platform teams to deploy models and improve them based on user feedback. | Post-train | 9 |
| Member of Technical Staff, AI Data - MAI Superintelligence Team The AI Data team at Microsoft AI is building the world's most advanced multimodal dataset to power frontier AI models. This role focuses on designing and developing data pipelines for massive multi-modal training data (text, audio, images, video) and building infrastructure to store and process petabytes of data. The team partners with pre-training and post-training teams to improve data recipes through experimentation and collaborates with product teams to identify model gaps. | DataPretrain | 9 |
| Senior Applied Scientist Senior Applied Scientist focused on retrieval technologies for Microsoft 365 Copilot, specifically Search, Chat, and Agent experiences. The role involves designing, experimenting with, and evaluating retrieval and ranking systems, including semantic, dense, sparse, and hybrid retrieval, RAG, and LLM-integrated architectures, to enhance grounding, relevance, and reasoning for millions of enterprise users. | AgentServe | 8 |
| Cambridge Residency Programme: Next-Generation AI Datacentre Networking Microsoft Research Cambridge is seeking two researchers for a two-year postdoctoral program to advance the design and evaluation of next-generation datacentre networks specifically for AI training and inference workloads. The program involves two tracks: one focused on analytical modeling and simulation, and the other on systems implementation and experimental validation using advanced hardware testbeds. The goal is to publish research findings and influence future AI infrastructure strategy. | Serve | 8 |
| AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration Postdoctoral Researcher focused on integrating experimental biological data with machine learning models for biomolecular simulation and drug discovery. The role involves designing and scaling experimental datasets, developing methods to connect ML models with experimental observables, and creating closed-loop workflows between models and experiments. | Data | 8 |
| Principal Product Designer, AI Experiences Product Designer for Microsoft's Superintelligence Team, focusing on end-to-end UX for AI product surfaces like MM Labs and Playground. This role leverages AI-native tools and agentic coding workflows to rapidly prototype and ship UI, bridging the gap between design and engineering. The designer will collaborate with researchers and model designers, contribute to design systems, and use data to inform decisions, with a high bar for visual craft and interaction quality. | Ship | 8 |
| Member of Technical Staff, AI Networking - MAI Superintelligence Team This role focuses on designing, scaling, and optimizing high-performance networks for AI training and inference clusters. The engineer will work on the end-to-end networking architecture, from link-layer to fabric-wide systems, connecting thousands of GPUs. Responsibilities include benchmarking, profiling, debugging, and tuning AI workloads, engineering ultra-low-latency networks, and designing congestion-free transport mechanisms. The goal is to build networking systems that directly accelerate Microsoft's frontier AI models and support the development of advanced AI systems. | Serve | 8 |
| Senior Software Engineer Senior Software Engineer role focused on designing and delivering AI/ML/LLM-based solutions for enterprise customers, involving prompt engineering, RAG, deployment, operation, evaluation, and monitoring of AI systems using cloud platforms. | Agent | 7 |
| Principal Technical Program Management Specialist This role translates early-stage AI research from Microsoft Research and applied R&D into shippable cloud AI capabilities. The Principal Technical Program Manager will shape technical concepts into product roadmaps, drive execution with Azure engineering teams, and manage external suppliers. The role involves defining success criteria, technical bars, and launch criteria for moving research prototypes to general availability, and managing program structure, roadmap, schedule, and governance for multi-team efforts. It also involves closing the loop from production back to research by validating use cases and bringing customer feedback to shape future investments. | Ship | 7 |
| Senior Data Scientist - Industry Solutions Engineering Senior Data Scientist role focused on co-engineering AI-powered, cloud-based solutions with customers to solve complex business challenges. The role involves data acquisition, preparation, model development, evaluation, and deployment within a cross-functional team, contributing to reusable solution patterns. | Ship | 7 |
| Forward Deployed Engineer Forward Deployed Engineer (FDE) role focused on building and deploying AI-powered solutions for customers, working at the intersection of advanced AI technology and real-world business impact. Responsibilities include engineering data pipelines, building custom applications, deploying scalable workflows, and monitoring/refining solutions. Requires practical experience with AI/LLMs in production and leveraging generative AI. | AgentServe | 7 |
| Member of Technical Staff, Hardware Health - MAI Superintelligence Team This role is focused on ensuring the reliability, performance, and availability of Microsoft's large-scale AI training infrastructures, which involve tens of thousands of GPUs and advanced networking. The responsibilities include designing transport, fabric architecture, telemetry, observability, and automated troubleshooting for these clusters. The role also involves AI training and inference cluster bring-up, performance benchmarking, and root-cause analysis, with a goal of developing predictive health models and autonomous remediation systems. | Serve | 7 |
| Member of Technical Staff, Data Research Engineer - MAI Superintelligence Team Seeking Data Research Engineers to join the Multimodal team, focusing on building next-generation foundation models. The role involves exploring, designing, and building high-quality multimodal datasets (vision, language, audio) for training and evaluation, collaborating with scientists and engineers, and developing scalable data pipelines. Responsibilities include data analysis, quality assessment, building tools for auditing, and ensuring datasets meet responsible AI practices. | Data | 7 |
| Cloud and AI Solution Area Specialist - Finance Sector This role is for a Cloud and AI Solution Area Specialist focused on the Finance Sector in London. The primary responsibility is to lead customer conversations and sales engagements around Microsoft's cloud, data, and AI solutions, helping customers achieve business value and accelerate adoption. The role involves identifying customer priorities, building pipeline, and driving sales, rather than directly building or researching AI models. | — | 5 |
| Senior Opto - Electronics Device Engineer This role is for a Senior Technical Program Manager at Microsoft Research focused on translating early-stage AI infrastructure research into shippable products and services. The role involves shaping technical concepts into product roadmaps, driving execution with Azure engineering teams, and managing external suppliers. It requires bridging research and production, with a focus on hardware innovation for next-generation AI platforms. The role operates at the intersection of optics, electronics, photonics, packaging, networking, and AI system design, aiming to bring these innovations to cloud AI scale. | — | 5 |
| Senior Technical Program Manager This role is for a Senior Technical Program Manager at Microsoft Research focused on translating early-stage AI research into shippable products and services. The role involves shaping technical concepts into product roadmaps, driving execution with Azure engineering teams, and managing external supplier relationships. It operates at the intersection of optics, electronics, photonics, packaging, networking, and AI system design, bridging research and production for next-generation AI infrastructure. | — | 5 |
| HR Business Analyst - Compensation This role focuses on leveraging AI tools to enhance data analysis and automation within compensation programs, particularly for sales compensation. It involves translating business questions into analytical problems, synthesizing data from various sources, and building scalable analytics solutions using modern data platforms. The goal is to drive data-informed decisions and improve the efficiency and effectiveness of compensation data management and insights generation. | — | 5 |
| Multidisciplinary Manager (Software Engineering) - FDE Manager for a multidisciplinary engineering team focused on co-engineering AI-powered, cloud-based solutions with customers to deliver measurable business outcomes. The role involves leading a team, coaching engineers, and championing AI-forward hypervelocity engineering with responsible AI practices. | Ship | 5 |
| Multidisciplinary Manager (Data Science) - FDE This role is for a Multidisciplinary Manager in the Industry Solutions Engineering (ISE) team at Microsoft, leading a cross-discipline engineering team to co-engineer AI-powered, cloud-based solutions with customers. The focus is on delivering measurable business outcomes by applying AI across the full lifecycle, ensuring secure, production-ready solutions. The manager will coach engineers, serve as a player-coach on engagements, and champion AI-forward hypervelocity engineering with responsible AI practices. | — | 5 |
| Multidisciplinary Manager (Technical Program Management) - FDE Manager for a multidisciplinary engineering team focused on co-engineering AI-powered, cloud-based solutions with customers. The role involves leading a team, coaching engineers (software, TPM, data science), and championing AI-forward engineering practices to deliver customer outcomes. | — | 5 |
| Principal Technical Program Manager - Forward Deployed Engineering Principal Technical Program Manager for Microsoft's Forward Deployed Engineering team, embedding with strategic customers to lead complex technical programs and co-engineer AI-powered, cloud-based solutions. The role emphasizes using AI-assisted engineering practices daily to accelerate the software development lifecycle and deliver measurable business outcomes, operating with high autonomy and collaborating with multidisciplinary teams. | Ship | 5 |
| Principal Software Engineer Principal Software Engineer role on the Industry Solutions Engineering (ISE) team at Microsoft. This role focuses on co-engineering AI-powered, cloud-based solutions with customers using the Hypervelocity Engineering (HVE) methodology. The position involves customer technical leadership, hands-on engineering, and providing product roadmap feedback. It is a senior individual contributor role on Microsoft's technical leadership career path. | — | 5 |
| AI Business Process Sales Specialist - Telco or Retail This role is for an AI Business Process Sales Specialist focused on driving end-to-end business transformation for strategic customers in the Telco or Retail industries. The specialist will lead sales engagements, build C-suite relationships, and collaborate with partners to deliver AI, Automation, CRM, and ERP solutions. The role emphasizes understanding how AI can enhance customer value and enable business transformation. | — | 5 |
| Customer Experience Engineer This role focuses on customer experience engineering for Microsoft Intune, a cloud-based service for managing devices. The engineer will resolve complex technical issues, partner with software engineering on design and feedback, flag product defects, and engage with critical customer accounts. A key aspect is identifying trends from customer usage to drive product improvements, and experimenting with AI and agentic AI to simplify problem-solving and enhance customer experience. The role also involves sharing best practices and driving process improvements. | — | 5 |
| Member of Technical Staff - Mobile Engineer, Health AI This role is for a Mobile Engineer (iOS or Android) on the Health AI team at Microsoft. The engineer will build and evolve the core Copilot experience for health and wellbeing, translating cutting-edge research into real-world products used by millions. The role focuses on shipping high-quality mobile applications and collaborating with various teams. | — | 5 |
| Cambridge Residency Programme - Experimental Materials Scientist This is a 24-month fixed-term post-doctoral Residency within the Future AI Infrastructure group at Microsoft Research Cambridge (UK), contributing to the Materials for the Cloud project. The role sits at the interface of machine-learning-accelerated materials discovery and experimental materials science, focused on the synthesis and characterisation of novel thin-film materials for future AI cloud infrastructure. | — | 5 |
| Technical Program Manager, Health AI Technical Program Manager for Microsoft's Health AI team, focusing on translating AI research into consumer products. The role involves managing end-to-end technical programs, driving cross-functional execution, and ensuring the quality, privacy, and security of AI-driven health features. Requires experience with production AI systems, launch processes, and working with compliance and legal teams. | Ship | 5 |
| Advertising Account Manager - Microsoft Advertising - Gaming Division This role is for an Advertising Account Manager within Microsoft's Gaming Division. The primary focus is on managing client relationships, understanding their advertising needs, identifying upselling opportunities, and educating clients on the Microsoft Advertising platform. The role involves proactive client engagement, feedback solicitation, and collaboration with internal partners to drive client success and revenue growth. It requires knowledge of industry trends and sales strategies, leveraging CRM tools for account management and performance tracking. | — | 0 |
| Data Center Technician This role involves staging, setting up, troubleshooting, and decommissioning hardware in a data center environment. It focuses on standard operating procedures, hardware maintenance, and supporting Microsoft's cloud infrastructure. | — | 0 |
| Land Acquisition Manager This role is for a Land Acquisition Manager at Microsoft, responsible for securing land for data center expansion across EMEA. It involves identifying, validating, negotiating, and closing land transactions, managing cross-functional stakeholders, and developing regional market strategies. The role requires extensive experience in real estate acquisitions and assessing powered land, with a focus on complex transactions and stakeholder management. | — | 0 |
| Software Engineer Software Engineer role focused on developing cloud-based solutions for customers using modern software engineering practices and collaborating with customer engineers. The role involves creating code, contributing to open source, and working with Microsoft product teams to solve business challenges. | — | 0 |
| Senior Software Engineer This role focuses on securing Microsoft products, including operating systems and cloud platforms, through security design reviews, code reviews, vulnerability research, and building mitigations. The ideal candidate will have hands-on experience with native code, penetration testing, and OS security fundamentals. | — | 0 |
| Commercial Sales Executive This role is for a Commercial Sales Executive at Microsoft in London. The primary focus is on leading commercial strategy, negotiation, and deal shaping for complex, high-value opportunities, particularly within the Public Sector or Financial Services sectors. The role involves acting as a trusted commercial advisor, designing innovative deal structures, influencing senior stakeholders, and ensuring compliance. Collaboration across internal teams (Sales, Finance, Legal, etc.) and with the partner ecosystem is crucial for driving successful customer and business outcomes. | — | 0 |
| Physical Security Engineering Manager This role manages a team responsible for physical security systems in Microsoft datacenters, focusing on break/fix, system configuration, program improvements, and access control/video systems. It involves people management, driving automation and AI solutions for security operations, customer/partner experience, data-driven analysis of security metrics, and identification/detection of control failures, including adherence to compliance programs like HIPAA. | — | 0 |
| Data Center Critical Environment Technician Manager Lead a team of technicians in a data center environment, focusing on hardware deployments, diagnostics, and decommissioning. Responsibilities include managing technician performance, monitoring KPIs and SLAs, providing training, and ensuring safety and operational excellence. | — | 0 |
| Data Center Critical Environment Technician Manager Lead a team of technicians in a data center environment, focusing on hardware deployment, diagnostics, and decommissioning. Responsibilities include managing technician performance, monitoring KPIs and SLAs, providing training, and ensuring safety and operational excellence. | — | 0 |
| Senior Energy Program Manager This role focuses on managing energy programs for Microsoft's datacenters, which support the global AI economy. The Senior Energy Program Manager will be responsible for sourcing, negotiating, and delivering strategic energy projects, including interconnection strategy, energy supply development, commercial negotiations, and delivery execution within the EMEA region. The role requires deep understanding of European power markets and strong commercial and analytical capabilities. | — | 0 |
| Critical Environment Technician (Shifts) This role is for a Critical Environment Technician responsible for maintaining the critical infrastructure of Microsoft's datacenters. Responsibilities include monitoring equipment performance, performing maintenance and repairs, responding to onsite incidents, and ensuring safety and security requirements are met. The role requires experience in mission-critical services and the ability to work shifts. | — | 0 |
| Senior Opto-Electronics Engineer This role focuses on the co-design of optical and electronic systems for next-generation AI infrastructure, specifically developing scalable, power-efficient connectivity solutions with a focus on co-packaged optics and advanced optical I/O technologies. The role involves designing and simulating optoelectronic systems, integrated circuits, and interfaces, bridging research and production. | — | 0 |