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 |
|---|---|---|
| Member of Technical Staff, Microsoft Robotics (Robot Learning) Develop, train, evaluate, and deploy machine learning models for robots to perceive, reason, and act in the physical world, focusing on vision-language-action (VLA) and similar models. This role involves the full robot learning stack, from data pipelines and model experimentation to large-scale training and real-world deployment on physical robots. | ShipData | 9 |
| Principal Applied Researcher Principal Applied Researcher to lead research projects on AI for developers, taking them from research into product. This role involves collaborating with scientists, engineers, and designers, building and training state-of-the-art models, applying and advancing LLMs for software engineering (including RAG and evaluation), and running experiments on a large scale with developer product teams. |
| ShipPost-train |
| 9 |
| 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 |
| Applied Scientist II and Senior: Microsoft AI Development Acceleration Program, Cambridge This role focuses on applying and implementing novel AI technologies into production for Microsoft's products and services, acting as a bridge between research and development. It involves selecting and applying ML techniques to large datasets, staying current with research, preparing data, and communicating results. The program offers mentorship and exposure to leaders, with opportunities to join product teams post-program. A PhD is preferred for advanced proficiency in scientific methodology and research. | ShipPost-train | 8 |
| Senior Applied Scientist This role focuses on designing, training, and improving large-scale machine learning models for Bing Search relevance and ranking, leveraging LLMs for various understanding and summarization tasks. The goal is to deliver high-quality, low-latency search results at a global scale, involving end-to-end model development and optimization of multi-stage ranking stacks. | ShipServe | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on bringing state-of-the-art AI/ML research into production for Microsoft products and services. This involves identifying trends, developing research-backed solutions, bridging the gap between research and development, and leveraging data analysis for modeling. The role requires expertise in ML subareas and applying them to solve complex business problems, ultimately impacting Microsoft products. | Ship | 8 |
| Principal Applied Scientist Principal Applied Scientist Architect for the Core Recommendation Ranking team, focusing on integrating GenAI and agentic systems into large-scale content recommendation and ranking stacks for consumer-facing Microsoft surfaces. The role involves designing, implementing, and architecting advanced ML/DL models, including LLMs, for ranking, reranking, and retrieval, with a strong emphasis on production ML systems at scale and cross-team technical leadership. | ShipAgent | 8 |
| Senior Software Engineer Senior Software Engineer role focused on building and integrating customer-facing, high-performance, low-latency, and high-availability AI services within the Responsible AI group at Microsoft. The role involves AI-native development, coding, system design, and ensuring engineering excellence for AI services, with a strong emphasis on reliability, supportability, and compliance. | ShipServe | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing and deploying AI and cloud-based solutions for enterprise customers, working in a cross-functional team to address customer challenges and build innovative solutions. | Ship | 7 |
| Senior Product Manager-AI Skilling Senior Product Manager for AI-powered skilling experiences, focusing on defining vision, strategy, and roadmap for learning platforms. The role involves partnering with design and engineering to ship LLM-powered features like recommendations, coaching, and assessments, and establishing metrics for engagement and learning outcomes. | Ship | 7 |
| Applied Science: Microsoft AI Internship Opportunities - Redmond This internship focuses on applying AI/ML expertise to real-world product scenarios within Microsoft's AI Content and Commerce, Search Fundamentals, and Search Place teams. Interns will work on problems in search, personalization, NLP, computer vision, and recommendation systems, translating research into production-ready solutions for products like Copilot. | Ship | 7 |
| Software Engineer: Microsoft AI Development Acceleration Program, Redmond Software Engineer role within Microsoft's AI Development Acceleration Program (MAIDAP). This two-year program focuses on developing the next generation of AI leaders by having participants work in interdisciplinary teams to provide AI as a service to engineering teams across Microsoft. The role involves implementing cutting-edge AI technology, bridging research and development, and collaborating with product managers and applied scientists to drive innovation from theory into practice. The program aims to build AI solutions for Microsoft's products and services, with opportunities for patenting and publishing IP. | Ship | 7 |
| Senior Security Researcher Senior Security Researcher focused on detecting and autonomously protecting against sophisticated enterprise identity-based attacks. The role involves novel attack-technique research, big-data analysis, identifying detection optics, and crafting detection/protection logic. It requires leveraging Generative AI tools to accelerate research stages like hypothesis generation, code prototyping, data triage, and detection authoring. The goal is to deliver identity protection against prevalent threats, from hypothesis to shipped detection and customer impact. | Ship | 7 |
| Senior Product Manager Senior Product Manager for Windows Search Platform, focusing on AI integration, extensibility, and user experience to redefine content discovery across Windows surfaces, including Copilots and Agents. The role involves defining roadmaps, translating customer needs into platform features, influencing technical strategy, and defining success metrics for AI/ML-powered personalization. | Ship | 7 |
| 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 |
| 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 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 |
| 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 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 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 |
| 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 |
| 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 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 |
| 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 Software Engineer - Responsible AI (CoreAI) Principal Software Engineer focused on building and integrating Responsible AI services, ensuring high availability, scalability, and low latency for customer-facing AI applications within Microsoft's CoreAI organization. This role involves end-to-end ownership of the development lifecycle, evaluating architectures, and upholding software engineering best practices. | ShipEval Gate | 7 |
| Principal Software Engineer Principal Software Engineer within Microsoft's Office of the CTO (OCTO) to build AI-based systems that accelerate the deployment of OpenAI technology across Microsoft. This role involves collaborating with key technical teams at Microsoft and OpenAI to create the technical foundation for their partnership, focusing on building and shipping robust AI products, leading system design, and ensuring production reliability, observability, and security. | Ship | 7 |
| Member of Technical Staff - Responsible AI (CoreAI) This role focuses on building and iterating on Responsible AI tools and capabilities to enable developers to build and deploy AI responsibly at scale. It involves prototyping, applying subject-matter expertise, and collaborating across product groups to drive project and release plans. The role emphasizes working in fast-paced, experimental environments and taking ideas from ambiguity to production. | ShipPost-train | 7 |
| Principal Data Scientist Principal Data Scientist at Microsoft responsible for end-to-end delivery of strategic data science projects, partnering with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact. This role involves leading teams, engaging with stakeholders, applying machine learning, and integrating data models into customer systems, with a focus on Responsible AI principles. | ShipPost-train | 7 |
| Member of Technical Staff, AI Platform Engineer This role focuses on engineering user-facing AI features for Microsoft's personal AI, Copilot. The engineer will own the development lifecycle from inception to delivery, build secure and performant AI platform services, and collaborate with researchers and other engineers to create next-generation AI products. The role emphasizes shipping high-quality, well-tested, secure, and maintainable code within a fast-paced product development cycle. | Ship | 7 |
| Member of Technical Staff - AI Product Engineer - Web This role focuses on building AI-powered web experiences for Microsoft Copilot, collaborating with researchers and product managers to deliver a world-class AI companion. The engineer will design and build efficient front-end systems and infrastructure for complex web applications, ensuring safety and reliability for millions of users. | Ship | 7 |