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 - AI Frontiers Research Intern position at Microsoft AI Frontiers Lab focusing on advancing agentic model capabilities. The role involves creating models and agents that can perform tasks across digital systems using automation, reasoning, and interaction, leveraging both text and visual environments. The research includes areas like reinforcement learning for reasoning and tool use, novel training algorithms, synthetic environment creation, multi-agent training, scaling laws, and optimization techniques. The role also involves working with various data modalities and modern model architectures, with a focus on publishing in top-tier venues and potentially shipping AI technologies in products. | AgentPost-train | 10 |
| Senior Principal Architect : Ads Trust & Safety AI Platform Senior Principal Architect for Microsoft Ads Trust & Safety AI Platform, defining and driving the next generation of AI systems for user protection, fraud prevention, and policy enforcement. This role involves architecting large-scale platforms for agentic investigation workflows, LLM reasoning, retrieval, model serving, and decisioning, requiring deep technical leadership and collaboration across multiple teams. |
| AgentServe |
| 9 |
| Principal Applied Scientist Principal Applied Scientist to define and develop next-gen intelligent, large-scale content platforms for AI-driven experiences. Responsibilities include modeling, experimentation, product impact, and technical leadership in areas like LLMs, information retrieval, ranking, grounding, search systems, and agentic AI. Focus on improving AI system information retrieval, reasoning, multi-turn conversations, tool use, response ranking, and grounded outputs. Requires hands-on experience tuning models at scale (SFT, preference optimization, distillation, data curation, evaluation, experimentation). Role involves leading scientific workstreams, influencing product direction, and collaborating with cross-functional teams. | AgentServe | 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. | AgentServe | 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 |
| Principal Applied Scientist (CoreAI) The Principal Applied Scientist will drive the applied science foundation for observability in AI agents and multi-agent systems at scale. This role focuses on understanding agent behavior in production, developing scientific methods, evaluation frameworks, and measurement systems to diagnose and improve agent-based systems. Responsibilities include developing evaluation and measurement frameworks, designing methodologies to connect offline evals with online signals, defining quality signals and benchmarks for agent systems, building models for behavior analysis, advancing observability through new approaches, partnering with engineering to operationalize methods, and contributing to instrumentation standards. The role also involves technical leadership, setting scientific direction, and collaborating with product and platform teams. | AgentEval Gate | 9 |
| Principal Research Engineer - Agent 365 Principal Research Engineer role focused on architecting and delivering scalable AI systems for Microsoft 365 Copilot experiences, including foundational models, multi-agent systems, and RAG. The role involves technical leadership, driving innovation, production integration, evaluation, and ensuring responsible AI practices. It requires experience with LLMs, multimodal models, multi-agent architectures, and RAG, with a focus on end-to-end ML pipelines and deployment at scale. | AgentServe | 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 |
| Senior Research Engineer Senior Research Engineer to design, implement, and ship research-driven solutions for autonomous agents, focusing on human oversight, assistance, and management within business processes. The role involves integrating agents, humans, and applications to streamline business processes and shape the future of human-AI collaboration. | Agent | 9 |
| Principal Software Engineer, Foundry Agents - CoreAI Principal Software Engineer role focused on building foundational platforms for intelligent agents and generative AI systems. Responsibilities include developing large-scale, cloud-native systems for agent deployment, execution, tool integration, fine-tuning, training, observability, evaluation, and optimization in production. The role operates at the intersection of distributed systems, AI infrastructure, and developer platforms, requiring strong systems thinking and architectural decision-making for systems demanding high performance, reliability, security, and compliance. | AgentPost-train | 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 |
| Principal Researcher - Agentic AI - Microsoft Research AI Frontiers Principal Researcher focused on expanding AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. The role involves developing self-improving, adaptive agents for dynamic enterprise environments, integrating pre-training, post-training, RL, multi-agent collaboration, and deployment. Key responsibilities include research on recursive self-improvement, continual learning, human-AI collaboration, and building robust evaluation frameworks and synthetic data pipelines. | AgentData | 9 |
| Senior Researcher - Agentic AI - Microsoft Research AI Frontiers Research Scientist focused on agentic AI, developing self-improving, multi-agent systems that learn through interaction. The role involves research on recursive self-improvement, adaptive coordination, continual learning, human-AI collaboration, and autonomous skill acquisition. It spans the research-to-deployment spectrum with a focus on building evaluation frameworks and synthetic data pipelines, and refining architectures for scalability. The work is grounded in foundation models and learning agent platforms, with potential for product impact and publication. | AgentData | 9 |
| Principal Applied Scientist Seeking a Principal Applied Scientist to research and develop novel AI agents, focusing on agentic systems, multi-step reasoning, and tool use. This role involves pushing the boundaries of AI agent capabilities and contributing to impactful AI products. | Agent | 9 |
| Senior and Principal Applied Scientists - CoreAI This role focuses on the applied science foundation for observability in AI agents and multi-agent systems running at scale. It involves developing and applying scientific methods, evaluation frameworks, and measurement systems to understand, benchmark, diagnose, and improve agent-based systems in production. The role addresses unique observability challenges of AI agents, such as non-deterministic execution and emergent behaviors. | AgentEval Gate | 9 |
| Research Intern - AI Frontiers - Reasoning & Agentic Models Research Intern position focused on advancing agentic model capabilities, including reasoning, tool use, and interaction across text and visual environments. The role involves developing novel training algorithms, exploring synthetic environments, multi-agent training, and scaling laws, with a focus on foundational models and modern architectures. The internship offers a chance to publish findings and potentially ship AI technologies in products. | AgentPost-train | 9 |
| Research Intern - Foundation Models and Agentic Systems Research intern role focused on advancing Generative AI and LLM technologies, specifically in foundation models and agentic systems. The work involves developing, improving, and exploring LLMs and Multimodal AI models, with research areas including reasoning, orchestration, multi-agent systems, and evaluation. | AgentPost-train | 9 |
| Senior Principal Researcher - Microsoft Research AI Frontiers Senior Principal Researcher at Microsoft Research AI Frontiers focused on pushing the boundaries of agentic AI, including large language and multimodal models, reasoning, and multi-agent systems. The role involves leading research, developing training methodologies, curating datasets, designing evaluation frameworks, and prototyping new agentic capabilities, with opportunities for publication and real-world impact. | AgentPost-train | 9 |
| 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 Product Manager, Agentic Experiences Product Manager for Agentic AI team, focusing on next-generation agentic AI products that reason, plan, and act across applications, the web, and the OS. The role involves translating AI research into scalable products for Copilot, Bing, Edge, M365, and Azure, with a focus on shipping 0-to-1 agentic products. | Agent | 9 |
| Research Software Engineer - Multiple Levels- AI Frontiers Research Software Engineer focused on Generative AI and agentic applications within Microsoft Research's AI Frontiers lab. The role involves developing, improving, and exploring capabilities of AI models and agentic systems, with a focus on creating reliable digital workers that can execute entire workflows and collaborate with humans and other agents. Key areas include enhancing agent reasoning, improving robustness, reimagining workflows for an agent-native world, and creating end-to-end experiences. | AgentData | 9 |
| Research Intern - OneDrive and SharePoint (Summer 2026) Research intern to investigate, propose, implement, and evaluate new approaches in LLMs, Multimodal AI, Reinforcement Learning, Conversational AI, and AI Agents for OneDrive and SharePoint. Will conduct experiments, develop AI models, design evaluation metrics, build datasets, and deliver models for content understanding and use across various modalities. Focus on applying scientific methods to real-world problems in content and collaboration. | AgentData | 9 |
| Member of Technical Staff - Machine Learning (AI Team) Research role focused on creating LLM models for general purpose capabilities and products, with a focus on agentive applications and advancing AI towards controllable, safety-aligned superintelligence. Responsibilities include developing new training methods, data collection, evaluation, and building user-facing features. | AgentPost-train | 9 |
| Research Intern - Memory & Orchestration in Large Language Models Research intern role focused on developing new LLM memory representation and orchestration systems, including advanced RAG and embedding techniques, for enterprise and consumer applications. | Agent | 9 |
| Senior Researcher - AI Agents - Microsoft Research Senior Researcher focused on advancing state-of-the-art in agentic systems and ecosystems, including building agent-native ecosystems, developing advanced agentic capabilities through post-training methods, creating novel human-agent interaction techniques, and developing evaluation benchmarks and tooling for agents. The role emphasizes outcome-driven innovation, collaborative innovation, problem-solving, decision-making, and the scientific method, with a strong publication policy and potential for shipping AI technologies. | AgentPost-train | 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 - 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Principal Consultant, AI Business Solutions Principal Consultant for AI Business Solutions at Microsoft, focusing on co-engineering GenAI and agentic solutions for enterprise customers on Microsoft platforms. The role involves translating ambiguous business needs into working prototypes and production-ready solutions, with a strong emphasis on end-to-end delivery, risk mitigation, and operational readiness. Responsibilities include implementing agentic workflows, integrating with customer environments, and ensuring the security, compliance, and reliability of AI systems. | AgentShip | 8 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer for Microsoft's Growth Intelligence team, focusing on Copilot. The role involves designing, building, and deploying ML models and pipelines for user and conversation understanding, including intent detection, topic classification, summarization, and persona generation. Key responsibilities include NLP, representation learning with transformer models, embedding pipelines, vector databases, RAG, and rigorous experimentation for production deployment and improvement. | AgentServe | 8 |
| Software Engineer II Software Engineer II on Microsoft's AI Applied Engineering team, focused on co-innovating and improving AI platforms by applying them to real-world enterprise customer scenarios using Azure AI services like LLMs, Speech, and Search. The role involves architecting and developing end-to-end Agentic AI solutions, integrating new Azure services and AI technologies, and collaborating with other teams to drive learnings back into the AI Foundry platform. | AgentPost-train | 8 |
| Principal Software Engineering Manager-CoreAI Principal Software Engineering Manager for Microsoft's CoreAI team, focusing on building foundational platforms, services, and developer experiences for Generative AI applications. The role involves leading a team to deliver SDKs, UI, and agentic experiences, including model inferencing, knowledge systems, AI services, model customization, and multi-agent solutions. Emphasis on technical direction, coaching engineers, and understanding customer needs to translate them into platform capabilities and user experiences. | Agent | 8 |
| Principal Software Engineer Principal AI Architect responsible for defining and driving the end-to-end Cloud + AI + Agentic architecture for next-generation tools/applications/agents for Microsoft's Customer Success and Consulting businesses. This role involves partnering with engineering and product leadership to deliver secure, reliable, scalable, and cost-effective AI systems, establishing a roadmap for the Agentic era, and embedding Responsible AI principles. | Agent | 8 |
| Applied AI Engineer II Applied AI Engineer II role focused on building agentic AI services for Azure customer support. Responsibilities include translating product specs into AI architectures, developing LLM-based solutions with orchestration and RAG, building evaluation systems, writing production code (C#/Python), deploying services with CI/CD and observability, and integrating with Azure services. The role emphasizes shipping production services that directly impact customers and applying Responsible AI practices. | Agent | 8 |
| Principal Applied AI Engineering Manager This role leads an AI engineering pod focused on building and shipping production agentic AI services for Azure customer support. Responsibilities include hiring and coaching engineers, driving the end-to-end lifecycle of AI agents (LLM orchestration, multi-agent workflows, RAG, evaluation), setting technical direction, ensuring production health and reliability, building evaluation systems, influencing roadmaps, driving business impact, ensuring responsible AI, and developing engineering talent. | AgentEval Gate | 8 |