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 - Fundamentals of AI: Security, Agents, Systems & Control Research Intern role focused on advancing core AI research in security, agentic workflows, and next-generation architectures. Key areas include strengthening AI robustness, designing post-training alignment strategies for multi-turn interactions, and investigating novel architectures beyond transformers. The role involves fundamental research and system-level applications, leveraging shared resources and evaluation frameworks. | Post-trainAgent | 9 |
| Research Intern - AI Frontiers - Reasoning & Agentic Models Research intern role focused on advancing agentic model capabilities, including reasoning, tool use, and end-to-end workflow execution across text and visual environments. The role involves research in reinforcement learning, novel training algorithms, synthetic environment creation, multi-agent training, and scaling laws, with a focus on foundational models and various data modalities. The internship aims to contribute to cutting-edge research and potentially ship AI technologies in products. |
| AgentPost-train |
| 9 |
| Research Intern - Machine Learning and Statistics Research Intern position in Machine Learning and Statistics at Microsoft Research New England, focusing on advancing the state-of-the-art in applied and theoretical ML research. Projects cover a broad range of ML topics including generative models, transfer learning, optimal transport, reinforcement learning, and deep learning. | Pretrain | 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 |
| Research Intern - Artificial Intelligence Research Intern position at Microsoft focusing on advancing artificial intelligence through research in areas like multimodality, world models, LLMs, computer vision, AI4Code, robotics, and agents. The role involves conducting research, developing novel methodologies, and disseminating findings through publications. | Pretrain | 9 |
| Research Intern - Systems for Reliable and Scalable AI Agents Research Intern position focused on building reliable, safe, and efficient AI agents. The role involves exploring formal verification, reliability, safety, intelligent task handling, secure execution, and efficiency optimization for AI agents. It is a research-focused role within Microsoft Research, aiming to tackle complex challenges in AI agent systems. | Agent | 9 |
| Research Intern - MSR AI Interaction and Learning Research intern role focused on advancing next-gen AI systems where humans and AI agents collaborate. The role involves research in areas like foundation models, reinforcement learning, multi-objective optimization, NLP, deep learning, interactive learning, agents, causal reasoning, computational social science, and human-AI collaboration, with a focus on shifting AI systems development towards optimizing complex objectives like group-level outcomes and team coordination. The internship is 12 weeks and involves collaboration with researchers and presenting findings. | PretrainAgent | 9 |
| Research Intern - Machine Learning at MSR NYC Research Intern at Microsoft Research NYC focusing on machine learning and artificial intelligence, with specific interests in reinforcement learning for language models, science of deep learning, post-training, reasoning, and test-time scaling. The role involves collaborating with researchers, presenting findings, and contributing to research projects over a 12-week internship. | Post-train | 9 |
| Research Intern - Foundations of Generative AI Research Intern position at Microsoft Research AI Frontiers lab focusing on expanding AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. The role involves developing, improving, and exploring LLMs and Multimodal AI models, with research areas including reasoning, new architectures, action models, multi-agent systems, and evaluation. | PretrainAgent | 9 |
| Senior Software Engineer Senior Software Engineer role focused on designing, shipping, and operating agentic support platforms and AI-driven autonomous support workflows for Microsoft's commercial business. The role involves end-to-end ownership of features, including orchestration, grounding, evals, observability, and SDK surfaces, with a strong emphasis on reliability, trustworthiness, and scalability of AI-managed support systems. | Agent | 8 |
| 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 Applied Scientist Principal Applied Scientist to lead the development of ML and generative AI systems for conversational commerce experiences within Microsoft Copilot. The role involves product discovery, ranking, personalization, reasoning, LLM-based systems, RAG, tool orchestration, and addressing quality/trust challenges, with a focus on shipping low-latency, reliable user-facing features. Technical leadership and Responsible AI practices are also key. | AgentServe | 8 |
| Software Engineer II Software Engineer II role on the Azure AI Foundry Customization team, focused on building and scaling the AI platform for Azure and Microsoft's flagship products. The role involves developing pre-training, mid-training, and post-training solutions, working with LoRA models, and handling inference at scale. Responsibilities include creating abstractions, infrastructure, and features for training, testing, validation, scaling, and optimization of ML algorithms, as well as driving customer-inspired innovations and ensuring code quality and security. | Post-trainServe | 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 Architect - Data AI This role focuses on architecting, designing, and delivering AI-driven transformation solutions for enterprise customers, with a strong emphasis on Azure AI services, machine learning models (including generative AI and LLMs), and AI agentic frameworks. The architect will lead client engagements, ensure solution performance and scalability, and guide customers through the deployment and operationalization of AI solutions. | AgentServe | 8 |
| Technical Solution Management Specialist - AI Evaluation, Research, and Technical Architecture Func. This role focuses on establishing and operating an AI Innovation Lab within Microsoft's Customer Experience and Success organization. The primary responsibility is to research, validate, and evaluate early-stage AI opportunities (pre 0-to-1) before they are handed off for prototyping or product engagement. This involves defining research frameworks, building evaluation approaches for various AI workloads, developing automated testing, and creating reference architectures. The role acts as a bridge between business strategy, research, and technical execution, ensuring AI innovations are rigorously tested and aligned with Responsible AI standards. | Eval GateData | 8 |
| Principal Software Engineer, Security AI Principal Software Engineer focused on building AI-powered security systems for Microsoft's cloud environment. The role involves designing, building, and operating production AI services that combine LLMs, agentic workflows, RAG, knowledge graphs, and multi-modal processing, with a strong emphasis on evaluation, responsible AI, and scalability within a large cloud platform. The candidate will lead architecture, design, and delivery of these systems, collaborating across various teams to translate AI advances into practical security solutions. | AgentServe | 8 |
| AI Engineer II & Senior AI Engineer - Getting Customers Ready for AI AI Engineer role focused on designing, building, and deploying AI-native systems for enterprise customers to securely adopt AI at scale. This involves working across the AI lifecycle, including model development, data pipelines, deployment, monitoring, and MLOps, with a focus on LLM-based applications, RAG, and agentic workflows within a security context. | AgentServe | 8 |
| Sr Software Engineer Senior Software Engineer to design and ship core components of an Agentic support platform, owning features end-to-end from prototype to production. Responsibilities include working across orchestration, grounding, evals, observability, and SDK surfaces, while ensuring production-readiness, trustworthiness, and scalability of AI-managed support systems. | Agent | 8 |
| Principal Software Engineer, Performance Tooling Principal Software Engineer focused on AI performance tooling and validation for LLMs, including defining technical strategy, architecting benchmarking systems, leading performance investigations, and influencing stakeholders across Microsoft and OpenAI to optimize inference performance and hardware efficiency. | Serve | 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 developing and implementing methodologies to evaluate LLM performance for Copilot, including training classifiers, experimenting with data collection, and providing real-time performance signals. The role involves creating automated evaluation frameworks and working closely with user researchers and product leaders. | Eval Gate | 8 |
| Senior Researcher, Office Product Group Senior Researcher role within the Office Product Group focused on advancing AI-powered experiences in Microsoft 365 applications. The role involves designing, developing, evaluating, and deploying AI systems that can reason and act across tools and documents, balancing innovation with production readiness. | AgentPost-train | 8 |
| Principal Applied Scientist Principal Applied Scientist role at Microsoft AI Web Data team focused on building the data foundation for Bing and Microsoft AI experiences, including large-scale grounding and LLM training. The role involves translating research into production, advancing state-of-the-art modeling, and deploying algorithms and solutions to improve system performance, quality, data management, and accuracy. | Post-trainPretrain | 8 |
| Senior Software Engineer Senior Software Engineer role on the Foundry Agents team at Microsoft CoreAI, focusing on building a platform for Azure AI customization. The role involves end-to-end ownership of systems that enable AI to learn, improve, and scale in production, including pre-training, mid-training, and post-training solutions, LoRA model deployment, and large-scale inferencing. Responsibilities include developing ML algorithms, infrastructure, and features for training, testing, validation, scaling, and optimization, with a focus on making agentic AI economically viable for enterprises. | Post-trainServe | 8 |
| Senior Data Scientist - Agentic Systems Senior Data Scientist focused on building and shipping generative AI capabilities, specifically agentic systems, for a marketing analytics team. The role involves designing agent architectures, prototyping LLM skills, integrating with platforms like Azure DevOps, and leading vendor-developed work. The goal is to accelerate analyst delivery and create marketer-facing conversational analytics agents. | Agent | 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 |
| Senior AI Hardware Architect Senior AI Hardware Architect role focused on defining and optimizing next-generation AI accelerator platforms and large-scale AI systems. Responsibilities include analytical performance modeling, workload characterization, profiling, and end-to-end performance analysis across GPU and accelerator architectures, working across hardware, software, and system boundaries. The role involves analyzing AI workloads, identifying performance bottlenecks, developing models for new architectural features, and correlating silicon data with models to drive optimizations for performance, efficiency, and TCO. Collaboration with various hardware and software teams is key to shaping future AI accelerator and system architectures. | ServePost-train | 8 |
| Applied Scientist II Applied Scientist II at Microsoft AI focusing on Generative AI and Agentic Modeling for consumer products like Bing and Copilot. The role involves building and optimizing production ML models, working with SOTA generative models, analyzing large-scale data, designing experiments, and delivering insights for business decisions. Requires expertise in ML, Generative AI, Agentic Modeling, or Data Science, with hands-on experience with LLMs/SLMs. | Post-trainAgent | 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 |
| Principal Software Engineer - Red Team Principal Software Engineer to build AI capabilities that automate red team engagements using generative AI and agentic systems, advancing state-of-the-art attacker TTPs, and building online services for security defenders. | Agent | 8 |
| Applied Science: PhD Microsoft AI Internship Opportunities - Redmond This internship focuses on applying advanced machine learning techniques to solve complex business challenges in areas like search, personalization, NLP, computer vision, and recommendation systems. The role involves developing and scaling models, preparing datasets, building ML pipelines, and collaborating with cross-functional teams to deliver product-integrated solutions, with a focus on influencing future AI experiences. | AgentServe | 8 |
| Principal Applied Scientist (Multiple Openings) - Copilot and Agents Core Principal Applied Scientist role focused on designing and developing LLMs and underlying subsystems for Microsoft 365 Copilot and Agents Core. The role involves tailoring models for product scenarios, working with research and engineering teams, and delivering joint-class solutions, including custom LLMs and architecture for specific product needs. | Agent | 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 |
| Sr Software Engineer Senior Software Engineer to design and ship core components of an agentic sales platform, owning features end-to-end from prototype to production. Responsibilities include working across orchestration, grounding, evals, observability, and SDK surfaces, while raising the bar for agent development and evaluation. Requires experience building with agent stacks and a strong understanding of AI-native development principles. | Agent | 8 |
| 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 |
| Principal Applied Scientist This role focuses on building the data foundation for Bing and Microsoft AI, involving large-scale grounding and LLM training. The Principal Applied Scientist will translate research into production, developing and deploying algorithms and solutions to improve system performance, quality, data management, and accuracy. The role emphasizes developing deep expertise, partnering with stakeholders, mentoring junior talent, and collaborating across teams to shape the future of AI. | DataPost-train | 8 |
| Senior Software Engineer, CoreAI Senior Software Engineer on the FIT training team within CoreAI at Microsoft, focused on building and optimizing the AI infrastructure for training agentic AI systems and LLMs/SLMs to achieve frontier-level performance. The role involves developing scalable infrastructure, working with both proprietary and open-source frameworks, and ensuring enterprise-grade agentic workflows. | DataAgent | 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 |
| Senior Software Engineer Senior Software Engineer to build and manage the next generation of an agentic platform for developer productivity, orchestrating AI models. The role involves designing and improving core agent capabilities (tooling, planning, orchestration, evaluation, guardrails), building AI fundamentals (observability, reliability), and developing user experiences. Requires full-stack development, experience with LLM-powered agentic systems in production, and leveraging AI-assisted development tools. | Agent | 8 |
| Principal Product Manager Principal Product Manager for Microsoft Copilot Studio's Intelligent Actions team, focusing on setting the vision and strategy for agentic AI capabilities, driving cross-functional collaboration, building prototypes with AI tools, and ensuring responsible AI practices. The role requires a deep understanding of agentic AI patterns and a builder's mindset to translate complex AI concepts into customer-facing products. | Agent | 8 |
| Senior Data Scientist Senior Data Scientist role focused on end-to-end delivery of strategic data science and AI solutions for clients, including generative AI applications and agentic AI solutions. Responsibilities include business understanding, data preparation, modeling, insight communication, and collaboration, with a strong emphasis on responsible AI principles and integrating AI into client workflows. | AgentPost-train | 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 |
| Senior Applied Scientist and Principal Applied Scientist This role focuses on developing and industrializing deep learning speech technologies, with a specific emphasis on integrating speech with LLMs for multimodal modeling. The scientist will invent new algorithms, apply them to real products, and evaluate their performance against guardrails, impacting millions of users. | Post-trainServe | 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 Applied Scientist This role focuses on building and leading the development of advanced multilingual speech models, AOAI finetuning, and multimodal generative AI for Microsoft's Azure Speech team. The goal is to create transformative speech technologies for voice agents, transcription, and call centre analytics, impacting billions of users globally, with a special focus on India. The role involves setting technical direction, driving innovation, scaling model quality, and delivering breakthrough technologies. | Post-trainServe | 8 |
| Software Engineer II and Sr. Software Engineer - AI Frameworks Develops software for AI/ML frameworks and tools, focusing on ONNX and ONNX Runtime for high-performance inference and training acceleration across various hardware. Also works on on-device AI inference solutions. | Serve | 8 |
| Member of Technical Staff, Microsoft Robotics (Robotics Simulation) This role focuses on designing, developing, and optimizing physics-based simulation frameworks for robotics applications. It involves creating high-fidelity simulation environments for robot kinematics, dynamics, sensors, and actuators, enabling reinforcement learning training, closed-loop policy evaluation, synthetic data generation, and sim-to-real transfer. The role bridges advanced physics simulation, robotics autonomy, and ML infrastructure to accelerate the development and deployment of physically grounded AI. | DataAgent | 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 |
| Senior Applied Scientist Senior Applied Scientist role focused on developing and shipping innovative machine learning solutions, particularly large language models and conversational search experiences, for Microsoft products. Responsibilities include training models, creating evaluation sets and infrastructure, fine-tuning LLMs, and driving projects from design to implementation and shipping. The role involves deep data analysis, prompt engineering, and setting up engineering pipelines. Experience with production systems and end-to-end AI product development is emphasized. | Post-trainServe | 8 |