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 |
|---|---|---|
| Member of Technical Staff, Compute Orchestration & Scheduling - MAI Superintelligence Team This role focuses on building and optimizing the compute orchestration and scheduling layer for large-scale AI model pretraining, utilizing Kubernetes and Ray. It involves workload placement, scaling, reliability, and developer experience, with a direct impact on AI model development and deployment infrastructure. | PretrainServe | 8 |
| Member of Technical Staff - Post Training - MAI Superintelligence Team This role focuses on the post-training of large language models (LLMs) to improve their capabilities in areas like reasoning, instruction following, math, code, and tool use. The responsibilities include data collection, building evaluations, and applying advanced reward modeling and RL techniques. The goal is to advance the state-of-the-art in LLM performance and contribute to the development of superintelligent AI systems. |
| Post-train |
| 8 |
| Member of Technical Staff, Developer Experience - MAI Superintelligence Team This role focuses on building and optimizing the infrastructure and developer experience for large-scale ML model training and inference, specifically for Microsoft's AI assistant, Copilot. The responsibilities include improving CI/CD pipelines, developing training tools, enhancing cloud infrastructure, and managing model hosting systems for inference and data generation. The role aims to accelerate iteration and improve the quality of AI models powering innovative products. | ServeData | 8 |
| Member of Technical Staff, LLM Inference - MAI Superintelligence Team This role focuses on building and maintaining tools and systems for LLM inference, optimizing compute efficiency, and enabling researchers to run models for various tasks. It involves working with inference frameworks, GPU kernel programming, and distributed systems to improve model performance. | Serve | 8 |
| Principal Applied Scientist This role focuses on building and improving AI agent platforms, specifically the Agent Performance team within Azure AI Platform. The core responsibility is to integrate scientific advancements, particularly RL techniques like RLHF, into production-ready features for AI agents. The role involves monitoring, evaluating, optimizing, and enabling self-improvement of these agents, bridging the gap between research and product. | AgentPost-train | 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 |
| Software Engineer 2 Software Engineer to develop AI software for training and deploying advanced AI models, focusing on system software, developer tools, and optimizing large-scale training and inference on novel AI hardware and accelerators. | ServePost-train | 7 |
| Forward Deployed Engineer This role involves partnering directly with customers to translate real-world problems into production-grade AI solutions using cutting-edge AI innovation. The Forward Deployed Engineer will design, develop, and deploy sophisticated AI-powered systems at scale, engineer data pipelines, build custom applications, and deploy scalable workflows. The role also involves monitoring, refining, and driving adoption of built solutions, and sharing field insights to influence AI platform direction. Requires a strong balance of AI understanding and practical software engineering experience, with a focus on generative AI and ML/LLM-based solutions in production. | Agent | 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 |
| Principal Applied Scientist, Experimentation Platform - CoreAI This role focuses on building and scaling an experimentation platform for AI products, enabling teams to evaluate, refine, and safely deploy new AI innovations. It involves pushing the envelope on online experimentation methodology and agent evaluations, collaborating with various engineering and science teams, and translating applied research into production-quality features. | Eval GateAgent | 7 |
| Senior/Principal Software Engineer Senior/Principal Software Engineer role focused on building and improving intelligent systems, specifically agents and evaluation frameworks, within the Microsoft Security organization. The role involves leading complex technical problem-solving, partnering with customers, translating customer needs into scalable product capabilities, and driving experimentation and learning loops for product improvement. Emphasis on end-to-end ownership, engineering standards, and mentorship. | AgentEval Gate | 7 |
| Senior Security Researcher This role involves threat hunting to detect, investigate, and respond to advanced attacks using Microsoft 365 Defender. It requires exploring large datasets to uncover novel attack techniques, generating custom alerts, and collaborating with data science and threat research teams to develop cloud-based detections. The role also involves building hunting tools and automations. | Data | 7 |
| Senior Data Scientist Senior Data Scientist role focused on applying machine learning and AI agents to sales compensation and incentive plans. The role involves designing, developing, and implementing ML solutions, building data pipelines, and leveraging Microsoft's AI/ML stack to drive insights and improve sales operations. The position requires strong business acumen in sales compensation and the ability to translate business context into analytical frameworks. | Agent | 7 |
| Engineering Manager Engineering Manager to lead a team building and operating the cloud brain of Microsoft Defender's real-time protection services. This involves managing ML models, large-scale data platforms, and threat intelligence pipelines that operate at planetary scale with low-latency and high-availability requirements for over a billion users. | Serve | 7 |
| Senior Software Engineer Senior Software Engineer to join the Microsoft Discovery team, working on an AI-driven platform that transforms the scientific research process using AI agents and high-performance computing. The role involves designing and building scalable, distributed systems, driving features from ideation to rollout, mentoring engineers, and improving engineering velocity with AI-enabled enhancements. Collaboration with Microsoft Research and platform teams is key, along with applying site-reliability engineering practices. | Agent | 7 |
| Principal Software Engineer This Principal Software Engineer role focuses on building and managing a hyperscale deployment system, leveraging AI to enhance efficiency, reliability, and automation. The role involves leading a team, mentoring engineers on AI-powered development practices, and driving innovation through AI solutions for deployment intelligence and operational excellence. It requires experience with AI-native development, LLMs, and integrating AI into the software development lifecycle. | Serve | 7 |
| Solution Architecture -- Copilot Solution Architect role focused on designing and deploying solutions leveraging Microsoft technologies, particularly Copilot and Agentic solutions. The role involves gathering client requirements, architecting solutions, building technical capabilities, and supporting pre-sales and implementation. It emphasizes deep product knowledge in Business Applications, Modern Work, Copilot, and Agentic solutions, with a focus on AI applications. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role within Microsoft's Industry Solutions Engineering (ISE) team, focusing on developing cloud-based solutions for customers by leveraging modern software engineering practices and cloud technologies. The role involves collaborating with customers and internal teams to build innovative solutions, with a specific emphasis on deploying, integrating, and operating AI/ML/LLM-based solutions, including prompt engineering, RAG, and model evaluation. | Agent | 7 |
| Forward Deployed Engineer This role focuses on developing user-facing Generative AI features and building AI agent platforms, requiring a blend of AI knowledge and software development expertise to deliver scalable, high-quality solutions for enterprise clients. | Agent | 7 |
| Software Engineer II - Gen AI & Agents Software Engineer II role focused on building and maintaining enterprise AI agent systems for security customers. This involves designing, developing, and integrating AI agents with enterprise platforms, ensuring data privacy, compliance, and responsible AI practices, and supporting agent operations in production. | Agent | 7 |
| Principal Software Engineer This Principal Software Engineer role focuses on building and operating mission-critical, hyperscale, high-performance, cost-efficient, and compliant AI infrastructure for LLM services within Microsoft 365 and other AI-powered products. The role involves leading the design, implementation, and delivery of an LLM API management service, with a strong emphasis on cost and availability management. | Serve | 7 |
| Principal Group Engineering Manager Principal Group Engineering Manager for AIInfra team at Microsoft, responsible for building and scaling the AI data-plane that powers LLM inferencing workloads across Microsoft and Azure customers. The role involves leading a large team to deliver inference capabilities for a wide range of LLMs with a focus on reliability, efficiency, and ultra-low latency. | Serve | 7 |
| Principal Software Engineer Principal Software Engineer to build and operate mission-critical, hyperscale, high-performance, cost-efficient, and compliant AI infrastructure that powers Microsoft's Large Language Model (LLM) services across Microsoft 365 and other AI-powered products. The role involves leading a team, driving the design and delivery of the AI inferencing platform, and ensuring platform cost efficiency, availability, and operational excellence. | Serve | 7 |
| Software Engineer II Software Engineer II role focused on building and operating mission-critical, hyperscale, high-performance, cost-efficient, and compliant AI infrastructure for LLM services within Microsoft 365 and other AI-powered products. The role involves leading the design, implementation, and delivery of LLM API management services, with a strong emphasis on cost and availability management, and collaboration across product teams. | Serve | 7 |
| Senior Software Engineer Senior Software Engineer role focused on designing and delivering AI/ML/LLM-based solutions for enterprise customers, involving prompt engineering, RAG, deployment, operation, evaluation, and monitoring of AI systems using cloud platforms. | Agent | 7 |
| Principal Software Engineer This role focuses on building a new platform for AI agents that can act as teammates in enterprise environments. The agents will handle multi-step tasks, operate across contexts, retain memory, and manage novel problems with minimal supervision. The role involves distributed systems, applied AI, and user experience, with a focus on defining agent operation and scaling the architecture. | Agent | 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 |
| Cloud Solution Architect - Microsoft 365 Copilot Cloud Solution Architect focused on AI solutions, specifically Microsoft 365 Copilot, Copilot Studio, and Copilot Chat, to help customers with their AI transformation. The role involves understanding business requirements, designing and implementing AI agent solutions, and providing technical support to customers, aiming to maximize business value and ROI. | Agent | 7 |
| Senior Applied Scientist - Computer Vision for Quantum Senior Applied Scientist role focused on building and scaling analytical pipelines and AI/ML models for experimental microscopy imaging and characterization data in the quantum computing domain. The role involves developing agentic workflows, image analysis algorithms, and ensuring the robustness and reliability of production-grade analysis systems to provide actionable insights for engineering teams. | AgentData | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building the cloud-native, distributed platform for agentic AI applications at scale. The role involves defining the future of software development, shaping developer interaction with the platform, and designing a managed, distributed runtime for orchestrating agent-based AI applications. It requires integrating multi-modal capabilities into agentic applications and working with AI/ML infrastructure. | Agent | 7 |
| Principal Software Engineer The AI Frameworks team at Microsoft develops AI software for training and deploying advanced AI models, focusing on AI compilers and programming abstractions for next-generation supercomputers and AI accelerators. This role involves inventing and implementing compiler features, optimization passes, and code generation for new hardware, as well as optimizing AI workloads using C++ and Python. | Serve | 7 |
| Software Engineer 2 Software Engineer role focused on building full-stack solutions with a strong emphasis on next-generation AI skills, including multi-agent frameworks, RAG, and LLM integration. The role involves designing and implementing APIs, front-end components, back-end services, and cloud deployments, with a requirement for hands-on experience in Generative AI and Agentic AI applications. | Agent | 7 |
| Senior Solution Architect Senior Solution Architect for Microsoft Industry Solutions Delivery (ISD) Canada, focusing on architecting and delivering AI-powered enterprise solutions using emerging Microsoft platform capabilities. The role involves leading technical teams, driving AI-first delivery practices, and ensuring engineering-grade rigor in solution design and implementation at enterprise scale. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer to architect and deliver Internet-scale web document platforms that ground LLMs for Microsoft's AI solutions, processing vast amounts of data daily. This role involves building large-scale data platforms fundamental to Bing Search and AI training, requiring expertise in both data platforms and AI. | Data | 7 |
| Software Engineer II - AI Engineering / Python/DS Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric, utilizing Apache Spark. The role involves implementing agentic workflows, scalable LLM features, and robust data pipelines, with a strong emphasis on AI engineering, evaluation, and operationalization of LLM systems. | AgentData | 7 |
| Software Engineer II - Full Stack (The Fabric Data Engineering Experience & Infrastructure) Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, LLM-backed data features, and operationalizing AI/ML features, with a focus on full-stack development including React-based UX and backend services in .NET/Python. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role in Cloud + AI team, focusing on building and optimizing scalable, high-performance AI inference backends and API interfaces for multimodal AI experiences (audio, image, video generation, safety). The role involves full-stack engagement, debugging, and collaboration across teams to deliver end-to-end AI solutions. | ServeAgent | 7 |
| Software Engineer Software Engineer II to build key features across the Copilot stack in Bing, spanning backend services, LLM prompting, and cross-surface UI experiences. The role involves creating AI-powered experiences for real-world decision-making, integrating Search, Maps, and Copilot. | Agent | 7 |
| Software Engineering IC3 Software Engineer role focused on designing and building AI-native systems and agentic workflows within Microsoft's commercial sales ecosystem. The role involves understanding business processes, prototyping, shipping scalable features, and integrating systems to create AI-powered workflows, with a strong emphasis on proficiency in AI-native development using agent harnesses and LLMs. | Agent | 7 |
| PRINCIPAL SOFTWARE ENG MGR The Principal Software Engineering Manager will lead a team focused on AI-powered developer productivity tooling and agentic systems. This role involves managing engineers, setting team direction, fostering experimentation with AI approaches, and championing the use of AI in daily workflows. The manager will also be responsible for career development, cross-team partnerships, and recruiting. | Agent | 7 |
| Solution Engineer - Copilot Solution Engineer focused on driving adoption of Microsoft's AI-powered Copilot and agent-based platforms, designing and delivering solutions for customers to transform productivity and business processes, moving them from experimentation to scaled, production-ready AI adoption. | Agent | 7 |
| Senior Applied Scientist (Bing Places) Senior Applied Scientist on the Bing Places team, responsible for designing, building, and shipping advanced AI and ML solutions including LLMs, RAG, learning-to-ranking, and entity understanding for local search experiences. The role involves end-to-end ownership from problem formulation and data analysis to model development, experimentation, production deployment, and live flighting, collaborating with engineering and product partners. | AgentServe | 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 |
| Member of Technical Staff - Software Engineer, Health AI Software Engineer role focused on building and shipping an AI health companion product, translating research into user-facing features. Requires strong engineering skills, experience with production systems, and ideally healthcare technology. | Ship | 7 |
| Sr. Software Engineer Senior Software Engineer role focused on building and integrating cutting-edge AI into Microsoft products and services within the Copilot, Agents, and Platform (CAP) group. The role involves applied research, ML engineering, and product innovation, with a focus on shipping reliable, production-grade AI systems from model development to deployment. Responsibilities include backend system design, end-to-end ownership, data and platform infrastructure, performance optimization, and cross-functional collaboration. | Agent | 7 |
| Senior Software Engineer - Microsoft AI, Copilot Senior Software Engineer role focused on building distributed systems and APIs for Microsoft AI's Copilot, specifically powering adaptive, context-aware experiences through personalization pipelines. The role involves architecting scalable systems for data ingestion, processing, and serving, designing data models and APIs for user context, and building real-time and batch personalization engines. Collaboration with privacy, security, and responsible AI teams is key, with an emphasis on shipping high-quality, well-tested code for consumer products. | ShipData | 7 |
| Software Engineer II Software Engineer II for Microsoft's Business & Industry Copilots group, specifically on the Copilot Studio AI Orchestration team. This role focuses on leveraging and optimizing generative AI models for agent actions, decisions, and responses within conversational and autonomous agents. The team powers millions of agents daily and integrates with various Microsoft products. | Agent | 7 |
| Principal Software Engineering Manager Principal Software Engineering Manager for Microsoft Teams Fundamentals team, focusing on building AI-driven infrastructure to enhance developer productivity. The role involves leading teams, architecting large-scale distributed systems, and leveraging AI/ML for experimentation, pipelines, and developer experiences. Emphasis on operational excellence and applying AI/ML to engineering systems. | Serve | 7 |
| Principle Security Researcher This Principal Security Researcher role focuses on advancing vulnerability research using AI/ML. The role involves developing AI-powered systems for automated bug discovery, validation, and exploit generation, translating research into practical security solutions across Microsoft's products and the open-source ecosystem. It requires deep systems expertise combined with AI/ML application to security problems. | Agent | 7 |
| Senior Security Researcher Senior Security Researcher at Microsoft focusing on AI-driven vulnerability discovery and exploitation. The role involves developing AI-powered systems for automated bug finding, validation, and exploit generation, translating research into practical security solutions across Microsoft products and the open-source ecosystem. | Agent | 7 |
