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 |
|---|---|---|
| Member of Technical Staff, Microsoft Robotics (Robot Learning) Develop, train, evaluate, and deploy machine learning models for robots to perceive, reason, and act in the physical world, focusing on vision-language-action (VLA) and similar models. This role involves the full robot learning stack, from data pipelines and model experimentation to large-scale training and real-world deployment on physical robots. | ShipData | 9 |
| Principal Applied Researcher Principal Applied Researcher to lead research projects on AI for developers, taking them from research into product. This role involves collaborating with scientists, engineers, and designers, building and training state-of-the-art models, applying and advancing LLMs for software engineering (including RAG and evaluation), and running experiments on a large scale with developer product teams. |
| ShipPost-train |
| 9 |
| Member of Technical Staff, Principal Tech Lead Manager, Image Generation Principal Tech Lead Manager for Copilot's image generation capabilities, focusing on technical leadership, product delivery, evaluation systems, and team building. This role involves defining the technical roadmap, integrating new models, scaling evaluation frameworks, and leading a team of AI engineers to improve image quality and user satisfaction in a high-impact consumer product. | ShipEval Gate | 9 |
| AI Chief Technology Officer - SME&C AI Chief Technology Officer (CTO) for the Small, Medium Enterprises & Channel (SME&C) segment in ANZ. This role is the senior AI technical voice, responsible for evangelizing AI and Data across the segment, engaging with C-suite leaders, driving customer adoption, and leading the development of strategic partnerships. The mandate spans AI experiences (Copilot, Azure AI), data platforms (Microsoft Fabric), and security, aiming to unlock growth and business transformation for customers. | Ship | 8 |
| Principal Software Engineer - CoreAI Principal Software Engineer to build and operate end-to-end multimodal generative AI systems for Azure Content Understanding, focusing on extracting insights from diverse data types. The role involves technical leadership, system design, quality improvement through evaluation, and collaboration with security and product teams. | ShipAgent | 8 |
| Principal Product Management Principal Product Manager for Microsoft Edge, focusing on defining and shipping AI-native product strategies that leverage frontier AI capabilities to improve the user experience. The role involves inventing on behalf of users, turning research into shippable products, and driving AI-powered features to scale. | Ship | 8 |
| Senior Data Scientist Senior Data Scientist role focused on building and deploying AI systems at scale for enterprise clients, involving the full ML lifecycle from data analysis and experimentation to production-ready pipelines and scalable infrastructure, with a strong emphasis on MLOps practices. | ShipServe | 8 |
| Applied Scientist II and Senior: Microsoft AI Development Acceleration Program, Cambridge This role focuses on applying and implementing novel AI technologies into production for Microsoft's products and services, acting as a bridge between research and development. It involves selecting and applying ML techniques to large datasets, staying current with research, preparing data, and communicating results. The program offers mentorship and exposure to leaders, with opportunities to join product teams post-program. A PhD is preferred for advanced proficiency in scientific methodology and research. | ShipPost-train | 8 |
| Senior Applied Scientist This role focuses on designing, training, and improving large-scale machine learning models for Bing Search relevance and ranking, leveraging LLMs for various understanding and summarization tasks. The goal is to deliver high-quality, low-latency search results at a global scale, involving end-to-end model development and optimization of multi-stage ranking stacks. | ShipServe | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on bringing state-of-the-art AI/ML research into production for Microsoft products and services. This involves identifying trends, developing research-backed solutions, bridging the gap between research and development, and leveraging data analysis for modeling. The role requires expertise in ML subareas and applying them to solve complex business problems, ultimately impacting Microsoft products. | Ship | 8 |
| Principal Applied Scientist The Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond, impacting millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. The role involves developing and deploying models including transformers, generative AI, and reinforcement learning for ads selection, generation, and relevance, building robust data pipelines for large-scale datasets, and staying at the forefront of AI research. | Ship | 8 |
| Principal Software Engineer - Microsoft AI Search Principal Software Engineer to define and build AI-native platforms for AI-powered visual discovery, integrating multimodal understanding, LLMs, and high-performance distributed systems for Bing Image Search and other Microsoft AI experiences. The role involves setting technical direction, owning product/platform areas, applying LLMs and multimodal AI in production, and designing scalable platforms. | ShipAgent | 8 |
| Data Scientist II Data Scientist II role focused on building and deploying production AI/ML systems, including Generative AI and optimization, for Microsoft Devices Operations (MDO) to improve supply chain, manufacturing, and delivery processes. The role involves end-to-end ownership from prototype to deployment, applying MLOps best practices, and collaborating with business stakeholders. | Ship | 8 |
| Principal Technical Program Manager This role is for a Principal 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, managing supplier relationships, and owning program structure from prototype to general availability. It bridges research and production, focusing on AI infrastructure and systems, and involves closing the loop from production back to research. | ShipPretrain | 8 |
| Principal Applied Scientist Lead the science behind Copilot Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. Set technical direction, mentor scientists, and partner with engineering, PM, UXR, and policy to ship end-to-end outcomes. | ShipAgent | 8 |
| Senior Data Scientist Senior Data Scientist role within Microsoft's AI Engineering team in the Devices Operations (MDO) organization. The role focuses on developing and deploying AI experiences for supply chain, manufacturing, and device delivery operations. Responsibilities include partnering with stakeholders, framing problems, architecting and building production-grade AI systems (ML/DL, GenAI, optimization), and driving engineering excellence. Requires a strong background in data science and experience shipping production AI systems, ideally in operational environments. | Ship | 8 |
| Applied Scientist II and Senior Applied Scientist This role focuses on building and maintaining production ML models for ad retrieval, quality prediction, and creative generation within Microsoft's monetization platform. It involves analyzing web-scale data, designing experiments, optimizing LLM prompts, and handling large datasets to provide insights for executive decision-making. The work powers products like Bing Ads and Copilot. | Ship | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on building and shipping AI-powered recommendation and generative experience systems for Microsoft's consumer ecosystem. The role involves end-to-end ownership of the personalization stack, including large-scale retrieval, deep ranking, whole-page optimization, reinforcement learning, and LLM-powered generative experiences, serving billions of requests daily with low-latency production infrastructure. | ShipAgent | 8 |
| Senior Applied Scientist Senior Applied Scientist to design and implement state-of-the-art ML models for Microsoft Ads and Copilot, impacting millions of users. Responsibilities cover the full modeling lifecycle from data strategy to deployment and evaluation, focusing on scalable solutions for ad relevance and user experience. | Ship | 8 |
| Senior Software Engineer Senior Software Engineer on the Bing GenAI team, responsible for the architecture and development of high-performance services powering generative AI features in Bing and Copilot. This includes prompt engineering, C#-based service layers, and guiding project delivery for features like web grounding, search mode, answer cards, and generative UI. The role involves technical leadership, mentoring, and ensuring the availability, reliability, and performance of large-scale AI systems. | Ship | 8 |
| Manager- Applied Sciences / Machine Learning Manager for a Core Recommendation and Content Generation team at Microsoft, focusing on LLMs and NLP to drive user engagement across various Microsoft platforms. The role involves leading a team of Applied Scientists and ML Engineers, defining technical strategy, and overseeing end-to-end execution of ML solutions. | ShipAgent | 8 |
| Principal Applied Scientist Principal Applied Scientist role focused on building and scaling AI-powered content recommendation systems for Microsoft Copilot Discover. The role involves advancing the recommendation and ranking stack using LLMs and multimodal models, deepening user and content understanding, scaling ML/AI systems, and driving innovation in AI-forward products like agentic content feeds and generative UI. The position requires technical leadership, mentoring, and close collaboration with engineering, product, and policy teams. | ShipAgent | 8 |
| Principal Data and Applied Scientist Principal Data and Applied Scientist role within Microsoft's EngOps team, focusing on developing and deploying cutting-edge GenAI and ML solutions to improve Azure customer experience, security, reliability, and quality. The role involves the full AI project lifecycle, from ideation to production, with a strong emphasis on experimentation, evaluation, and collaboration with cross-functional teams. Requires experience in building and deploying live production systems and delivering AI product features. | Ship | 8 |
| Principal Applied Scientist Principal Applied Scientist Architect for the Core Recommendation Ranking team, focusing on integrating GenAI and agentic systems into large-scale content recommendation and ranking stacks for consumer-facing Microsoft surfaces. The role involves designing, implementing, and architecting advanced ML/DL models, including LLMs, for ranking, reranking, and retrieval, with a strong emphasis on production ML systems at scale and cross-team technical leadership. | ShipAgent | 8 |
| Snr Applied Scientist Lead the science behind Copilot Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. This role involves setting technical direction, mentoring scientists, and partnering with engineering, PM, UXR, and policy to ship end-to-end outcomes. | ShipEval Gate | 8 |
| Principal Product Management Principal Product Manager for Microsoft Edge, focusing on defining and executing an AI-native product strategy to enhance user experience and collapse the distance between user intent and accomplishment. The role involves inventing new AI-driven features, translating frontier AI capabilities into customer-facing products, and driving product strategy from research to shipped product. | Ship | 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 |
| Principal Applied Science Manager This role is for a Principal Applied Science Manager at Microsoft Bing's RAI Defensives team. The primary focus is on managing a team to research and ship state-of-the-art Deep Learning (DL) based NLP models for web-scale services, specifically for detecting harmful queries and content to ensure customer safety and a positive user experience. The role involves people management, technical leadership, and delivering reliable, scalable distributed services. | Ship | 8 |
| Member of Technical Staff, Senior Applied AI Engineer, Image Generation Senior Applied AI Engineer focused on building and shipping image generation capabilities for AI assistants and productivity tools. This role involves model development, training, fine-tuning, evaluation, and production deployment, with a strong emphasis on integrating LLMs and delivering customer-facing features. | ShipPost-train | 8 |
| Senior Applied Scientist Senior Applied Scientist with expertise in NLP, deep learning, and Ads recommender systems to design and implement ML models for relevance systems across Microsoft Ads and Shopping (Bing, Copilot). The role focuses on enhancing ad relevance and optimizing user experiences, operating end-to-end for ads and shopping products. | Ship | 8 |
| Senior Applied Scientist Senior Applied Scientist to design and implement state-of-the-art machine learning models and algorithms for Microsoft Ads and Copilot, impacting millions of users and advertisers. Responsibilities include the full modeling lifecycle from data strategy to evaluation, focusing on scalable solutions for ad relevance and user experience. | Ship | 8 |
| Principal Applied Scientist Principal Applied Scientist role focused on the future of AI for Developers, leading research projects from inception to product integration. The role involves building and training state-of-the-art models, applying LLMs to software engineering tasks (including RAG and evaluation), and collaborating with product teams to scale and improve AI projects. The role also involves creating new datasets and managing large-scale ML experiments. | ShipData | 8 |
| Principal Applied Scientist (Multiple Positions) - MSAI Office of CTO This role focuses on designing and developing LLMs and underlying subsystems for enterprise AI products, specifically within Microsoft 365 Copilot. It involves tailoring models to product scenarios, collaborating with research and engineering teams, and building custom LLMs and architectures for GenAI applications. The role requires a strong understanding of AI/ML product cycles and the ability to deliver solutions from ideation to shipping. | ShipPost-train | 8 |
| Senior Software Engineer Senior Software Engineer role focused on building and integrating customer-facing, high-performance, low-latency, and high-availability AI services within the Responsible AI group at Microsoft. The role involves AI-native development, coding, system design, and ensuring engineering excellence for AI services, with a strong emphasis on reliability, supportability, and compliance. | ShipServe | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing and deploying AI and cloud-based solutions for enterprise customers, working in a cross-functional team to address customer challenges and build innovative solutions. | Ship | 7 |
| Senior Product Manager-AI Skilling Senior Product Manager for AI-powered skilling experiences, focusing on defining vision, strategy, and roadmap for learning platforms. The role involves partnering with design and engineering to ship LLM-powered features like recommendations, coaching, and assessments, and establishing metrics for engagement and learning outcomes. | Ship | 7 |
| Principal Product Manager Principal Product Manager for Microsoft AI's Trust and Safety team, focusing on AI monetization platforms. The role involves building AI-powered products to ensure safety and trustworthiness in advertising, addressing emerging threats like synthetic media and agentic attacks. Requires expertise in trust, safety, integrity, or fraud prevention, with a track record of building platform-level solutions. The role will drive multi-year strategies, influence organizational change, and collaborate across Product, Engineering, Research, and Go To Market functions to deliver AI-first products. | Ship | 7 |
| Applied Science: Microsoft AI Internship Opportunities - Redmond This internship focuses on applying AI/ML expertise to real-world product scenarios within Microsoft's AI Content and Commerce, Search Fundamentals, and Search Place teams. Interns will work on problems in search, personalization, NLP, computer vision, and recommendation systems, translating research into production-ready solutions for products like Copilot. | Ship | 7 |
| Software Engineer: Microsoft AI Development Acceleration Program, Redmond Software Engineer role within Microsoft's AI Development Acceleration Program (MAIDAP). This two-year program focuses on developing the next generation of AI leaders by having participants work in interdisciplinary teams to provide AI as a service to engineering teams across Microsoft. The role involves implementing cutting-edge AI technology, bridging research and development, and collaborating with product managers and applied scientists to drive innovation from theory into practice. The program aims to build AI solutions for Microsoft's products and services, with opportunities for patenting and publishing IP. | Ship | 7 |
| Senior Security Researcher Senior Security Researcher focused on detecting and autonomously protecting against sophisticated enterprise identity-based attacks. The role involves novel attack-technique research, big-data analysis, identifying detection optics, and crafting detection/protection logic. It requires leveraging Generative AI tools to accelerate research stages like hypothesis generation, code prototyping, data triage, and detection authoring. The goal is to deliver identity protection against prevalent threats, from hypothesis to shipped detection and customer impact. | Ship | 7 |
| Member of Technical Staff - Software Engineer, Health AI Software Engineer role focused on building and shipping an AI health companion product, translating research into user-facing features. Requires strong engineering skills, experience with production systems, and ideally healthcare technology. | Ship | 7 |
| Senior Software Engineer - Microsoft AI, Copilot Senior Software Engineer role focused on building distributed systems and APIs for Microsoft AI's Copilot, specifically powering adaptive, context-aware experiences through personalization pipelines. The role involves architecting scalable systems for data ingestion, processing, and serving, designing data models and APIs for user context, and building real-time and batch personalization engines. Collaboration with privacy, security, and responsible AI teams is key, with an emphasis on shipping high-quality, well-tested code for consumer products. | ShipData | 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 Senior Data Scientist role within Microsoft's Industry Solutions Engineering team, focusing on developing AI and cloud-based solutions for customers. The role involves data acquisition, modeling, evaluation, and customer-facing project delivery to solve complex business challenges. | Ship | 7 |
| Senior Product Manager Senior Product Manager for Windows Search Platform, focusing on AI integration, extensibility, and user experience to redefine content discovery across Windows surfaces, including Copilots and Agents. The role involves defining roadmaps, translating customer needs into platform features, influencing technical strategy, and defining success metrics for AI/ML-powered personalization. | Ship | 7 |
| Principal Software Engineer Manager Principal Software Engineering Manager to lead a team building web-scale platforms and SOTA models for semantic understanding of multi-modal documents, powering AI solutions across Bing Search, AI Grounding, and Microsoft AI training scenarios for over 1 billion users. | Ship | 7 |
| Principal Product Manager Principal Product Manager for AI-powered skilling experiences, defining vision, roadmap, and leading cross-functional teams to deliver learning outcomes. Focus on shipping LLM-powered features like recommendations, coaching, and assessments, and bringing generative AI to production. | Ship | 7 |
| Senior Data Scientist - FDE Senior Data Scientist role focused on co-engineering AI-powered, cloud-based solutions with customers, developing statistical techniques for data analysis, and building scalable operational models. The role involves data acquisition, preparation, model evaluation tied to business outcomes, and staying current with industry trends. | Ship | 7 |
| Principal, Data Science & Analytics Microsoft AI (MAI) is seeking a Principal Data Scientist to lead ecosystem data science, own cross-product measurement strategy, and partner across product and business teams. The role involves developing data strategies, applying advanced analytics (ML, statistical modeling, data mining, experimentation) to large datasets, designing and executing experiments, and operationalizing ML models to optimize MAI-level outcomes across a consumer AI ecosystem. | Ship | 7 |
| Senior Project Manager This role is for a Senior Project Manager within Microsoft's Industry Solutions Delivery organization, focusing on managing the delivery of AI-enabled, data-driven solutions for strategic customers. The role requires orchestrating multidisciplinary teams, managing executive stakeholders, and ensuring successful project execution across scope, cost, schedule, and quality, with a strong emphasis on AI concepts and cloud platforms. | Ship | 7 |