Currently tracking 250 active AI roles, down 24% 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 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 |
|---|---|---|
| Principal Software Engineer Manager, CoreAI This role leads the AI Foundry Agents Platform, focusing on enabling developers to build and deploy complex agents with multi-agent orchestration, tool use, and production deployment capabilities at enterprise scale. The role involves managing and coaching engineers, driving strategic clarity, fostering engineering alignment, delivering end-to-end experiences, building foundational capabilities, championing customer-centric development, and ensuring live site excellence for large-scale distributed systems. | Agent | 7 |
| Principal Product Manager Principal Product Manager to define the next generation of engineering systems for Microsoft's Chromium-based products (Edge, WebView2, Copilot app), focusing on AI-driven application workflows and AI-assisted coding to improve developer productivity and innovation at scale. | Agent |
| 7 |
| Senior Software Engineer The AI Core Infrastructure team is responsible for building and managing large-scale GPU management infrastructure and inference/training platforms for Microsoft's AI workloads. This Senior Software Engineer role focuses on fleet management, designing and developing core AI infrastructure services, and managing GPU clusters for LLM training and inference. | ServePost-train | 7 |
| Member of Technical Staff, Microsoft Robotics (Software Systems) This role focuses on the reliability, observability, and operational health of a production robotics platform that integrates humans, robots, and AI agents. It involves designing and operating observability infrastructure, incident response, deployment pipelines, secure cloud-to-edge communication, and capacity planning for robotics workloads. The role requires a strong background in SRE and systems engineering for both cloud and edge components. | ServeAgent | 7 |
| Member of Technical Staff, Microsoft Robotics (Software Systems) Microsoft Robotics is building a platform for physical intelligence, an integrated robotics software and AI platform that enables humans, robots, and AI agents to collaborate. This role focuses on designing and building core infrastructure components like SDKs, cloud services, edge runtimes, and agent orchestration layers. The position involves architecting platform extensibility, building production-grade data infrastructure for the robotics lifecycle, owning cross-cutting concerns like security and performance, and driving the developer experience. Collaboration with autonomy, simulation, and evaluation teams is key to meeting ML training and evaluation requirements. | AgentData | 7 |
| 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 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| Senior Applied Scientist The Signals Modeling team builds core intelligence for predicting user interaction with ads, designing and training large-scale transformer models for ad ranking, pricing, and optimization. They own end-to-end ML systems, from data construction to deploying models that drive revenue and ROI in a massive ads ecosystem. | Ship | 7 |
| Software Engineer II, Foundry Agents - CoreAI Software Engineer II role focused on building foundational platforms for intelligent agents and generative AI systems within Microsoft Foundry. The role involves developing large-scale, cloud-native systems for the end-to-end agent lifecycle, including secure enterprise deployment, tool integration, model fine-tuning, and production observability/evaluation. It sits at the intersection of distributed systems, AI infrastructure, and developer platforms. | AgentServe | 7 |
| Senior Consultant Apps - (AI + Full stack ) Senior Consultant role focused on designing and delivering end-to-end, industry-aligned, AI-powered cloud-native applications for enterprise customers. Combines full-stack engineering, applied AI, and Azure cloud expertise with a consulting mindset to drive business outcomes and digital transformation. | Ship | 7 |
| Principal Software engineer Principal Software Engineer in the CoreAI organization at Microsoft, focusing on building and integrating Responsible AI services. The role involves developing customer-facing, high-performance, low-latency, and high-availability AI services, improving AI tools across the SDLC, and ensuring Responsible AI controls and engineering-health metrics are embedded. Responsibilities include coding, system design, driving engineering excellence, implementing AI features with guardrails, and ensuring reliability and supportability. | ShipServe | 7 |
| Principal Software Engineer Principal Software Engineer to lead architecture and delivery of a Teams-integrated product (Innovation Studio) that uses agentic AI workflows, Azure-native services, and modern web experiences to help organizations run hackathons and accelerate ideas. The role involves defining how the team uses agentic development itself for various SDLC stages. | Agent | 7 |
| Senior Software Engineer - Performance Senior Software Engineer focused on optimizing the inference performance of large language models (LLMs) like those from OpenAI, running on various hardware including GPUs and custom Microsoft silicon. The role involves benchmarking, debugging, and optimizing performance to enable efficient deployment at scale for major Microsoft products and Azure services. | Serve | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building AI-powered, full-stack cybersecurity capabilities for enterprise customers. The role involves designing and implementing scalable cloud services, LLM-based agentic workflows, and integrating AI for threat detection and response. | Agent | 7 |
| Research Intern - Intelligent Quantum Systems Architecture Research Intern role focused on exploring the intersection of quantum applications and quantum system architecture using AI-driven methods and machine learning for advanced resource estimation. The goal is to co-design more efficient quantum systems aligned with real-world application workloads, from application intent to hardware realization. | Data | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building the foundational cloud-native, distributed platform for developing, executing, and managing agentic AI applications at scale. The role involves defining the future of software development, shaping developer interaction with the platform, and integrating multi-modal AI capabilities into agentic applications. | Agent | 7 |
| Principal Product Manager- AI Integrity The Principal Product Manager will lead product strategy for AI Integrity Foundations, focusing on post-deployment safety, abuse monitoring, content authenticity, and incident response for frontier AI models and experiences. This role involves defining vision and roadmap for foundational integrity capabilities, improving abuse detection systems, owning incident response product capabilities, evolving provenance and content authenticity, and partnering with various teams to integrate AI integrity and security into Microsoft's ecosystem. The goal is to enable responsible deployment, regulatory compliance, and real-world abuse detection of AI systems and agents at scale, driving 0-to-1 product development and establishing key metrics for AI integrity posture. | ShipAgent | 7 |
| Principal Silicon Performance Architect This role focuses on optimizing the performance of AI inference workloads by exploring micro-architectural innovations and validating end-to-end performance. The Principal Silicon Performance Architect will own performance modeling, analysis, and simulation infrastructure, working closely with chip, system, and software architects to drive data-backed design decisions for improved throughput, latency, and efficiency. | Serve | 7 |
| Applied Sciences PhD This role focuses on advancing the state-of-the-art in AI/ML research and driving innovation from theory into reality by blending research and development techniques. The individual will work on the design, development, execution, and implementation of technology research projects, with a focus on technology transfer into products and services. The role requires a PhD student in a related field and involves understanding research literature, preparing data for analysis, and contributing to patents and white papers. | Post-train | 7 |
| Principal Software Engineer Principal Software Engineer on the Windows team, focusing on creating personalized consumer experiences across Xbox, M365, and devices. The role involves leading teams, driving AI adoption, building ML models, and leveraging LLM usage patterns and agentic frameworks for personalization and service health. | Agent | 7 |
| Principal Software Engineering Manager This role is for a Principal Software Engineering Manager in the Windows Ecosystem & Commercial Engagements (WECE) team. The manager will lead a team of engineers to build features into Windows, leveraging AI-assisted engineering. The role requires experience in managing engineering teams and shipping LLM-based systems to production, with a focus on delivering value to hundreds of millions of users. | Ship | 7 |
| Principal Software Engineer Principal Software Engineer to drive the architectural transformation of Conditional Access into a universal policy engine for users, workloads, and AI agents. This role will own the technical vision for scaling Conditional Access to meet the next generation of identity, including autonomous agents, continuous authorization, data-plane enforcement, and policy portability. The role involves defining architecture, owning technical strategy for the evaluation engine, designing next-generation policy models, leading CA-for-Agents vision, architecting agent identity evaluation, driving cross-org technical alignment, and influencing roadmaps for agent governance. It also includes setting standards for safe rollout, driving testability, and mentoring engineers. | AgentServe | 7 |
| Software Engineer II- (GCC‑High/DoD)- CTJ- Secret Backend Software Engineer II for Microsoft Viva Insights (Copilot Analytics), which empowers organizations by providing AI-powered insights to understand and accelerate Copilot and Agent adoption. The role involves designing, implementing, and operating large-scale distributed backend systems using generative AI and ML techniques, with a focus on government cloud environments (GCC-High/DoD). Responsibilities include building and managing Azure infrastructure, collaborating across disciplines, and ensuring service reliability through strong engineering practices and observability. | Ship | 7 |
| Senior + Principal Software Engineers- Front End Applied AI for Microsoft Threat Protection (MTP) Senior and Principal Software Engineers are needed to build AI-driven security product experiences for Microsoft Threat Protection. This role involves designing and developing full-stack solutions that integrate large language models, multimodal models, and frontier AI capabilities into user-facing applications for threat detection, triage, investigation, and incident response. The focus is on creating AI-native workflows and intuitive interfaces that reduce defender toil and enable new security capabilities. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer role at Microsoft AI's Copilot Discover Engineering Team, focusing on the technical direction and long-range architecture of Copilot Discover. The role involves designing and driving systems for AI-forward discovery experiences, including content ingestion, enrichment, ranking, personalization, and serving across multiple surfaces. It emphasizes end-to-end responsibility, influencing platform direction, and ensuring system robustness, scalability, and privacy. The position requires shaping the adoption of AI/ML techniques and serving as a cross-organizational technical leader. | ShipServe | 7 |
| Principal Software Engineer Principal Software Engineer to design and build a Postgres-based database for modern, AI-native, agent-driven workloads within Microsoft Fabric. The role involves innovating on query planning, execution, and storage layers to support high-performance data access for next-generation applications, leveraging open storage formats and engines. | Serve | 7 |
| ML - Principal Software Engineer Principal Software Engineer role focused on building high-performance software for AI capabilities across Windows & Devices. The role involves architecting and building code for deploying ML models at scale, optimizing edge execution, and guiding system-level decisions for inference, memory, power, and security. It requires defining ML infrastructure strategy and has preferred experience in architecting ML inference pipelines for LLMs, local model integrations, and hardware-aware optimizations. | Serve | 7 |
| Principal Software Engineer This role focuses on building the cloud-native, distributed platform for developing, executing, and managing agentic AI applications at scale. It involves defining the future of software development by shaping how developers interact with the platform, including programming models, user experiences, and a managed runtime for orchestrating agent-based AI applications with enterprise-grade guarantees. The role will collaborate with AI research teams and integrate multi-modal capabilities into agentic applications. | Agent | 7 |
| Member of Technical Staff, Full Stack - ML Efficiency & Observability - MAI Superintelligence Team Full Stack Engineer on the MAI Superintelligence Team focused on ML Efficiency & Observability, building capacity management portals and visibility into model performance for ML researchers and executives. The role involves designing and developing features for user interfaces, integrating with backend APIs for training frameworks, and contributing to internal tooling and infrastructure. | Serve | 7 |
| Principal AI Network Architect This role focuses on the network architecture for AI accelerator platforms, specifically for high bandwidth and low latency networks critical for AI GPU clusters. The Principal AI Network Architect will evaluate, design, and optimize the network stack from hardware to software kernels, influencing Azure product roadmaps and working with state-of-the-art networking labs. The role requires deep expertise in networking technologies and familiarity with AI model execution pipelines. | Serve | 7 |
| Principal Software Engineering Manager This role is for a Principal Software Engineering Manager within Microsoft's AI Platform organization, specifically on the AI Foundry OSS Model Customization Team. The team focuses on enabling data scientists and developers to build, train, deploy, and manage machine learning models, with a specialization in customizing open-source models. The manager will lead and develop a team of engineers, focusing on scalable services, customer needs, and career development, while collaborating with external partners and internal Microsoft teams. A strong background in Generative AI, ML, deep learning, NLP, transformer models, and cloud platforms is required. | Post-train | 7 |
| Principal Product Manager - AI Security (CoreAI) This role focuses on defining and building the security foundation for AI systems, particularly agentic systems, within enterprise applications. The Principal Product Manager will lead product efforts to detect, prevent, and govern AI security risks, integrating these capabilities with Microsoft's broader security stack. The role is at the intersection of AI systems, cybersecurity, and enterprise cloud infrastructure, driving 0-to-1 product development for AI security. | Agent | 7 |
| Director, MAVS Technology & Product This Director role focuses on leveraging AI and AI-enabled tools to accelerate technical due diligence, product integration, and decision-making for Microsoft's strategic deals (acquisitions, divestitures, data/IP transactions). The role involves leading cross-functional teams, assessing technical risks (including AI/ML, security, privacy, compliance), developing integration plans, and driving innovation in AI-first workflows to improve efficiency and decision quality in a rapidly evolving AI market. | Agent | 7 |
| Principal Product Manager/Architect - Foundry Inference Platform (CoreAI) The Principal Product Manager/Architect will define and guide the technical architecture of Microsoft Foundry, an AI inferencing platform focused on reliability, scalability, and efficiency for large-scale GPU fleets. The role involves setting product direction for reliability, GPU fleet efficiency, capacity management, and engaging with strategic customers. Success metrics include platform reliability, GPU utilization, and customer outcomes. | Serve | 7 |
| Principal Data Scientist Principal Data Scientist role focused on applying advanced analytics and data science to solve complex business problems for Microsoft's strategic customers. The role involves shaping data science strategy, defining reusable patterns, and leading technical direction across engagements, with a strong emphasis on business understanding, data preparation, modeling, and evaluation in a customer-facing consulting and engineering context. | Ship | 7 |
| Senior Software Engineer Senior Software Engineer role on the Microsoft Teams AI Platform team, focusing on building and operating high-scale backend services that enable AI agents to work seamlessly across Teams. The role involves designing and developing foundational infrastructure, collaborating with AI teams, and ensuring high standards of availability, reliability, and performance for features impacting millions of users. | AgentServe | 7 |
| Senior Software Engineer - CoreAI Senior Software Engineer to join the Evaluation platform team within Core AI, focusing on building core services for large-scale agent observability and optimizing AI agent performance. | Eval GateAgent | 7 |
| Member of Technical Staff - Full Stack Engineering Manager Engineering Manager for Microsoft AI's Copilot product, focusing on full-stack development, team leadership, and shipping AI-powered experiences. The role involves hands-on coding, architectural guidance, and working across data sampling, collection, processing, analysis, and insights stages of the evaluation platform. Prompt engineering and extensive use of AI tools are also key aspects. | ShipData | 7 |
| Principal Researcher - Systems & Networking - Microsoft Research Principal Researcher in Systems and Networking with a focus on AI-driven methods for systems innovation, performance, efficiency, and scalability. The role involves developing new methodologies, collaborating with cross-functional teams, and publishing research findings. | Serve | 7 |