Currently tracking 224 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
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.
Microsoft currently has 313 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (18), Senior Software Engineer (17), Software Engineer II (6), Principal Applied Scientist (5), Principal Data Scientist (4). Most positions are in Engineering and Research.
Microsoft's active AI hiring is concentrated in: agents (39%), application (22%), serving infrastructure (18%). 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 (271 roles), Canada (15 roles), Japan (10 roles), United Kingdom (8 roles).
Job postings at Microsoft most frequently mention: Computer Architecture, Python, Machine Learning, C#, C++.
In the past 30 days, Microsoft has posted 245 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff, Microsoft Robotics (Robot Security & Safety) This role focuses on designing and implementing security and safety architectures for Microsoft's robotics platform, which includes AI models and agentic workflows. The primary goal is to ensure robots operate safely and securely in real-world environments, bridging cybersecurity, functional safety, and AI safety. The role involves developing threat models, safety analyses, monitoring systems, and incident response capabilities, with a strong emphasis on compliance with industry standards and responsible AI deployment. | ShipAgent | 7 |
| Member of Technical Staff, Microsoft Robotics (Field Robotics) This role focuses on planning, executing, and analyzing field tests of robotic systems in real-world environments to ensure reliability and performance. It bridges lab development and production readiness by deploying robots, designing test protocols, collecting data, diagnosing issues, and collaborating with engineering teams for continuous improvement. The role is part of Microsoft Robotics within the Discovery and Quantum division, building a platform for physical intelligence that integrates humans, robots, and AI agents. |
| ShipAgent |
| 7 |
| Member of Technical Staff, Microsoft Robotics (Perception) This role focuses on developing and integrating perception, localization, mapping, and navigation capabilities for robotic platforms within Microsoft's physical intelligence platform. It involves designing and implementing production-quality autonomy systems that combine multi-sensor perception, SLAM, state estimation, and navigation planning, with an emphasis on turning research into robust, scalable systems for real-world deployment across diverse robots and environments. | AgentData | 7 |
| Member of Technical Staff, Microsoft Robotics (Navigation) Develops and deploys navigation and planning systems for robots, enabling them to move safely and efficiently in real-world environments. This role involves working across the autonomy stack, integrating classical robotics with modern AI systems, and building robust software for diverse robot embodiments and operating conditions. | AgentServe | 7 |
| Member of Technical Staff, Microsoft Robotics (Robotics Data) This role focuses on data analysis, curation, and visualization for robotics AI models. It involves defining data collection strategies, building data pipelines, analyzing dataset characteristics, and creating visualization tools to improve model performance and identify data gaps. The role works at the intersection of robotics, machine learning, and data engineering. | Data | 7 |
| Member of Technical Staff, Microsoft Robotics (Robotics Simulation) The role focuses on building and maintaining pipelines for generating physics-ready 3D simulation assets from reality capture data. This includes creating workflows for optimizing geometry, material properties, and physics parameters, integrating various 3D reconstruction techniques, and developing synthetic data generation pipelines for ML models used in robotics. The goal is to bridge the physical and simulated worlds for robotics AI development and deployment. | DataAgent | 7 |
| Member of Technical Staff, Microsoft Robotics (Human-Robot-AI Interaction) This role focuses on designing the human-robot-AI interaction and interfaces for Microsoft's robotics platform, enabling collaboration between people, robots, and AI agents. It involves creating interaction paradigms for natural language commands, AR overlays, gesture input, and trust calibration mechanisms, aiming to establish Microsoft's design language for physical AI experiences. | Agent | 7 |
| Principal Software Engineer Lead This Principal Software Engineer Lead role focuses on designing and building AI-native systems and agentic workflows to transform Microsoft's commercial sales ecosystem. The role involves rapid prototyping, shipping scalable production-quality features, integrating systems and data, and ensuring responsible AI development. | Agent | 7 |
| Principal Applied Threat Intelligence Manager This role manages a team of Applied Threat Intelligence analysts, leveraging AI to understand the threat landscape and attacker tradecraft. The team tracks threat actors, translates findings into actionable guidance, and builds pipelines and tooling to deliver cyber threat intelligence at machine speed. The role involves partnering with product, research, and other teams to integrate intelligence into customer-facing surfaces and managed services. | Agent | 7 |
| Principal Applied Threat Intelligence Analyst This role focuses on leveraging AI to understand the threat landscape and attacker tradecraft, tracking threat actors, and translating findings into actionable intelligence. The role involves building and refining pipelines and tooling for machine-speed delivery of cyber threat intelligence to customers, partnering with product and research teams to integrate intelligence into customer-facing surfaces. | Agent | 7 |
| Software Engineering IC5 This role focuses on building and operating the foundational accelerated compute infrastructure for large-scale AI training and inference across Azure. It involves designing and developing GPU/CPU infrastructure, end-to-end observability systems, orchestration, and virtualization/container stacks to support AI workloads, optimizing for performance, reliability, and utilization. | Serve | 7 |
| Principal Software Engineer Principal Software Engineer role focused on building and scaling large distributed systems for search, recommendation, and AI services, specifically within the Bing IndexServe team. The role involves architecting and driving cutting-edge techniques like LLM, Ranking, and Index Serving on a massive scale (100K+ nodes), collaborating with ML/AI data scientists. The team aims to simplify the serving stack, improve relevance innovations with deep learning and LLMs, and build an agile, performant, stable, and efficient index serving platform that supports rapid implementation and iteration of relevance techniques and advanced AI toolsets. | Serve | 7 |
| AI Discovery + Web Personalization Product Manager (Agentic Web Lead) Product Manager for AI Discovery and Web Personalization, focusing on creating agentic web experiences. The role involves defining strategy and roadmaps for AI discovery, session-based personalization, and interactive on-site agents, ensuring content is understood by AI, adapting experiences in real-time, and building trustworthy AI assistants. Requires strong product management, technical AEO fluency, and cross-functional leadership. | AgentServe | 7 |
| Principal Software Engineer This Principal Software Engineer role focuses on building AI primitives and scalable AI infrastructure within the Business & Industry Copilots group, specifically for the Microsoft Dynamics 365 suite and related products. The role involves fine-tuning AI models, developing experimentation and evaluation frameworks, curating datasets, and driving model quality, with a strong emphasis on data and model quality for enterprise AI applications. | DataPost-train | 7 |
| Senior Program Manager - NPI Team This role focuses on increasing the productivity, scale, and depth of NPI Program Managers through data systems, automation, and applied AI. The Senior Program Manager will define the vision and lead the build-out of tools, structured data sources, and agentic AI solutions to help PMs run programs with better risk foresight and pattern recognition. The core responsibility is to improve the leverage and effectiveness of the PM function through AI and data systems. | Agent | 7 |
| Principal Product Manager Principal Product Manager for autonomous selling experiences at Microsoft, focusing on agentic capabilities to move sellers from insight to action. The role involves defining product hypotheses, validating value, prototyping, establishing metrics, and translating validated concepts into scalable roadmap investments. Requires operating in ambiguity, strong product judgment, and data-driven decision making. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer role focused on co-engineering AI-powered, cloud-based solutions with customers, emphasizing production-readiness, scalability, and customer success. The role involves designing and leading architecture for AI/ML workloads, integrating AI/ML solutions, and operating them in production, with a strong focus on security and enterprise standards. | ShipServe | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, scalable LLM-backed data features, and AI-assisted experiences to help data engineers. Responsibilities include end-to-end ownership of features, building frontend UX, developing full-stack capabilities, and contributing to AI-powered developer productivity tools within notebooks and data engineering environments. The role also involves operating and maintaining the built systems. | AgentData | 7 |
| Principal Applied Scientist This role focuses on building intelligence for the advertising marketplace, understanding user behavior, measuring impact, and optimizing outcomes. It involves developing large-scale learning systems for intent inference and causal effects from noisy data, influencing ranking, bidding, pricing, and budget allocation. The role requires defining and driving the scientific and technical strategy for data-driven attribution and causal measurement, establishing methodologies for incrementality estimation, counterfactual learning, and bias correction, and leading the production adoption of relevant frameworks. The ideal candidate will have deep expertise in causal inference and a track record of delivering measurable business impact with ML systems. | Ship | 7 |
| AI Software Engineer AI Software Engineer role focused on building AI-powered testing capabilities for Visual Studio and .NET CLI. The role involves designing and implementing intelligent agents for test case suggestion, code analysis, and test maintenance, as well as developing benchmarking frameworks to evaluate AI models for coding tasks. The technology stack includes C# and Azure, leveraging LLMs. | Agent | 7 |
| Senior Consultant, Apps & AI Senior Consultant for Microsoft's Industry Solutions team, focusing on delivering AI-enabled applications and cloud solutions on Azure for enterprise customers. Responsibilities include client-facing consulting, designing and building full-stack applications, architecting cloud-native solutions, implementing DevOps, and leading the end-to-end delivery lifecycle. The role emphasizes AI-enabled development using Azure OpenAI, Azure AI Services, custom ML models, agentic AI systems, and RAG architectures, alongside cloud-native architecture and DevOps practices. | AgentServe | 7 |
| Software Engineer 2 Software Engineer role focused on designing and building AI-native systems and agentic workflows to transform Microsoft's commercial sales ecosystem. The role involves understanding business processes, prototyping, shipping scalable features, integrating systems, and ensuring responsible AI development. | Agent | 7 |
| Software Engineer II Software Engineer II role focused on building and deploying AI-powered solutions for enterprise customers, translating real-world problems into production-grade AI systems. Responsibilities include engineering data pipelines, building custom applications, deploying scalable workflows, and monitoring/refining deployed solutions. Requires practical experience with AI/LLMs and leveraging generative AI. | Agent | 7 |
| Service Engineer Service Engineer role focused on building and managing end-to-end solutions for Microsoft Cloud operations, including AI-powered agents, LLM-powered workflows, and automation for incident triage and operational intelligence. The role involves data pipelines, integrating incident management systems, and collaborating with various teams to translate business requirements into technical solutions. | Agent | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing AI and cloud-based solutions for enterprise customers, involving data acquisition, model development, evaluation, and deployment within a cross-functional team. | 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 |
| Software Engineer II Software Engineer II role focused on evolving agentic AI capabilities within Microsoft's Power BI and Fabric products. The role involves crafting, fine-tuning, and maintaining AI solutions, including prompt engineering, skill integration, context engineering, and evaluations, to deliver AI-powered experiences that unlock data value for customers. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer at Microsoft's Commercial Engineering & AI (CEAI) team, focusing on building and operating distributed services and integrating AI capabilities like NLP, semantic search, and intelligent agents using Azure OpenAI and Semantic Kernel. The role involves end-to-end ownership of features, driving architectural decisions, and ensuring performance, scalability, and cost efficiency. It also includes mentoring engineers and contributing to DevOps and live site reliability. | Agent | 7 |
| Principal Product Manager Principal Product Manager for Microsoft AI's Trust and Safety team, focusing on AI-powered products for business growth and monetization. The role involves shaping the future of ads integrity, anticipating emerging abuse vectors like synthetic media and agentic attacks, and building platform-level safety solutions. Requires expertise in Trust, Safety, Integrity, or Fraud Prevention, driving multi-year strategies, and influencing cross-organizational change. The role operates within Microsoft AI (MAI), which handles Copilot, Bing, Edge, and other AI-first products, emphasizing collaboration with Product, Engineering, and Research. | Agent | 7 |
| Threat Intelligence Manager Lead a team of Threat Intelligence Security Analysts to track criminal threat actors and transform intelligence into insights and protective outcomes. Build and operationalize a hybrid human + agentic intelligence team, applying AI technologies, automation, and workflow innovation. Partner across engineering, product, security research, detections, data science, and incident response teams to translate intelligence into protections, investigations, product improvements, and strategic decisions. | Agent | 7 |
| Principal Software Engineering Manager - Substrate Efficiency This role leads a team focused on optimizing the inference efficiency of the M365 Copilot platform, which operates at massive GPU scale. The goal is to maximize throughput per GPU, reduce cost per query, and improve runtime performance for large-scale AI experiences. | Serve | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing AI agents to automate and improve data analysis within the Microsoft Content organization, leveraging LLM skills and driving efficiency for non-data scientists. | Agent | 7 |
| Senior Security Researcher Senior Security Researcher role focused on offensive security research, adversary emulation, and malware development. The role will leverage AI-enabled and agentic systems, including LLM-driven workflows, to scale attack development, automation, and simulation fidelity within a security context. The goal is to emulate modern adversaries and improve defensive capabilities. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role on the Power BI Core AI team at Microsoft. The role focuses on building AI-first capabilities to make enterprise data more accessible, governed, and useful for human users and AI agents. Responsibilities include AI-native development, writing secure and performant code for web clients and service-side components integrating with LLM-based agents, and driving product development and scaling. The role involves working across the full product stack to shape how AI transforms enterprise analytics at scale, including agentic AI experiences, benchmarking, and evals. | Agent | 7 |
| Software Engineer Software Engineer role focused on building AI-driven automation into HR platforms and engineering pipelines using LLMs and agentic AI. The role involves designing and implementing scalable solutions, developing CI/CD pipelines with AI capabilities, and leveraging AI technologies for workflow automation and productivity enhancement. | Agent | 7 |
| Senior Consultant, Apps & AI Senior Consultant focused on delivering AI-enabled applications and cloud solutions on Azure, including agentic AI systems and RAG architectures. Responsibilities span from pre-sales to end-to-end delivery, emphasizing scalable architectures, full-stack development, and DevOps practices. | AgentServe | 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, preparation, model development, evaluation, and deployment at scale, with a strong emphasis on customer-facing project delivery and innovation. | Ship | 7 |
| Senior Data Engineer Senior Data Engineer responsible for designing, building, and operating software platforms that power Microsoft's business operations. This role involves working with AI tools across the SDLC, building datasets for LLMs and agents, and ensuring data quality, reliability, and security for AI-driven features. The engineer will also lead design discussions, write high-quality code, own testing strategies, manage cross-team dependencies, and participate in live site operations and mentorship. | DataAgent | 7 |
| Principal Technical Product Manager- Accelerator Optimization The Principal Product Manager will own the AMD inference platform optimization strategy for Azure AI services, focusing on performance, correctness, stability, compatibility, and release quality for AI models on AMD GPUs. This role involves defining product strategy, roadmaps, and execution, partnering with engineering and external vendors to ensure AMD is a first-class production platform for AI inference. | Serve | 7 |
| Principal Group Software Engineering Manager Principal Group Software Engineering Manager to own GPU fleet health, capacity intake and planning, and automated model deployment for M365 Copilot inference. This role involves leading teams, growing the organization, and building a control plane for capacity management at massive GPU scale. | Serve | 7 |
| Senior Software Engineer Senior Software Engineer role at Microsoft Quantum focused on building scalable commercial quantum computer systems. The role involves designing, implementing, and integrating system software, developing novel algorithms for computationally hard problems, and working on Quantum Error Correction techniques. It requires collaboration with experimentalists and hardware designers, spanning software, firmware, and hardware subsystems. The position emphasizes passion for software development, cloud, AI, and quantum computing. | Data | 7 |
| Principal Software Engineering Manager, Windows Platform & Developer Team Engineering Manager to lead a team of 7-10 engineers shaping how agents and claws are built, run, and securely governed on the Windows platform. The role involves owning technical direction for new agentic capabilities, leading cross-functional partnerships, mentoring engineers, and recruiting talent. | Agent | 7 |
| Senior Product Manager Senior Product Manager for Microsoft's Azure Data team, focusing on the Real-Time Intelligence (RTI) unified experiences team. This role will define product direction for enterprise AI operationalization, focusing on agentic workflows and real-time data for AI-powered operations. The product manager will lead cross-cutting scenarios, drive alignment across components, and shape how Fabric becomes the real-time backbone for AI. The role involves defining product direction in ambiguous problem spaces, translating AI and agentic trends into roadmaps, and enabling data-in-motion for intelligent, event-driven applications. | AgentData | 7 |
| Principal Data Scientist Principal Data Scientist role within the Industry Solutions Engineering (ISE) team, focusing on developing AI and cloud-based solutions for customers. This role involves data acquisition, model evaluation, developing operational models at scale, and collaborating with cross-functional teams and customers to solve complex business challenges. | Ship | 7 |
| AI-Powered Developer Productivity Architect - Digital Natives & ISVs (EMEA-HQ) This role focuses on architecting and implementing AI-powered developer platforms for digital native and startup companies, emphasizing agentic development workflows, multi-agent ecosystems, and autonomous coding agents to improve engineering productivity. The architect will guide teams in adopting these tools, integrating them with DevOps practices, and ensuring security and governance. | Agent | 7 |
| Applied Scientist Applied Scientist role focused on building GenAI and ML solutions for Azure customer experience, specifically in Security, Reliability, and Quality. The role involves driving AI projects from ideation to production, performing experiments, integrating models, and collaborating with cross-functional teams. Requires experience with AI Reasoning agents and LLMs/SLMs. | AgentPost-train | 7 |
| Principal Group Product Manager Principal Group Product Manager for Microsoft Security's Defender Experts (DEX) service, a premier Managed Detection & Response (MDR) offering. This role involves defining product strategy and roadmap, leading a team of Product Managers, and collaborating with researchers and engineering to integrate AI, particularly Generative AI, into security operations for enhanced threat detection and response. The focus is on delivering customer value through innovative, scalable security features and services within a regulated environment. | Ship | 7 |
| Senior Software Engineer Senior Software Engineer to design and deliver cloud-native services using Microsoft technologies, with a focus on integrating AI-powered capabilities like copilots, LLM integrations, and agent-based workflows. The role involves technical leadership, architectural decisions, and ensuring reliability and safety of AI features. | Agent | 7 |
| Principal Performance Architect The Principal Performance Architect will develop and test SoC and IP models, analyze performance and bottlenecks for deep learning workloads, and prototype optimizations for AI accelerators. This role focuses on the performance and power efficiency of hardware infrastructure for AI workloads. | Serve | 7 |
| Cloud Solution Architect - Copilot Cloud Solution Architect focused on enabling enterprise customers to realize business value through Microsoft 365 Copilot and Agentic AI solutions. The role involves supporting customers from experimentation to scaled adoption by designing and delivering solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry. | Agent | 7 |
