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 |
|---|---|---|
| MTS - Platform Engineer (Tools) The role focuses on designing and optimizing AI Agents and their orchestration layers for Copilot and other AI-powered experiences. It involves building robust systems for multi-model/multi-service workflows, pushing inference performance for low-latency execution, and enabling agents to securely and efficiently call APIs and services. The ideal candidate has backend or ML systems expertise at the intersection of product and inference, building scalable and reliable AI platforms. | AgentServe | 8 |
| Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team This role focuses on building and scaling the high-performance computing (HPC) infrastructure required for training frontier AI models and powering AI products like Copilot. The engineer will design, operate, and maintain large-scale HPC environments, including schedulers, GPU compute, storage, and networking. Responsibilities include developing automation, supporting researchers and engineers, and troubleshooting cluster issues. The role requires experience with on-premise or cloud HPC clusters, high-scale training clusters, and public cloud infrastructure. |
| Data |
| 8 |
| Applied Scientist II / Senior Applied Scientist - Responsible AI (CoreAI) The role focuses on building and scaling Responsible AI service components, specifically involving supervised fine-tuning of LLMs with RLHF, conducting evaluations, and developing agent adversarial evaluations and safety mitigations. The goal is to enable customers to use AI responsibly and securely. | Post-trainAgent | 8 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer for Health Futures team focused on accelerating training of generative models, advancing model capabilities, and optimizing training/evaluation/inference pipelines for health and life sciences applications. | Post-trainServe | 8 |
| Member of Technical Staff, Applied Scientist Applied Scientist role focused on building advanced Copilot features like Deep Research and Web artifact generation. Responsibilities include architecting and implementing LLM-powered systems, leading evaluation efforts, designing data pipelines for prompt engineering and fine-tuning, and training content classifiers. Requires experience with LLMs, production-quality Python code, and a Bachelor's degree with related experience. | AgentPost-train | 8 |
| 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 |
| 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 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 |
| 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 |
| 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 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 |
| 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 |
| Principal Software Engineering Manager - Search The Principal Software Engineering Manager will lead a team of 7-10 engineers responsible for the Windows Search Platform, evolving it into an AI-native infrastructure layer. This includes enabling Copilot, LLM integrations, and agentic discovery patterns, as well as developing the Windows AI Platform for developers. The role involves owning technical direction, driving cross-functional partnerships, establishing release discipline and observability, and mentoring the engineering team. Experience with AI/ML integration in systems software, LLM consumption, and embedding-based retrieval is preferred. | AgentServe | 7 |
| Senior Consultant - Data & AI Senior Consultant role focused on designing and delivering AI-powered data solutions on Microsoft Azure. The role involves leading technical delivery, defining technology strategy, and implementing solutions with an AI-first mindset, acting as a hands-on contributor and potentially leading engineering teams. Emphasizes cloud-native architectures, data engineering principles, and rapid prototyping for production-ready AI solutions. | Serve | 7 |
| Principal Software Engineer Principal Software Engineer role focused on building high-impact AI solutions, specifically agentic AI at scale, for strategic customers on the Azure platform. This involves developing complex systems from ideation to production, identifying and building reusable solution patterns, and staying current with the latest advancements in agentic AI. | Agent | 7 |
| Senior Cloud Solution Architect Senior Cloud Solution Architect for Azure AI platform, focused on enabling customers to achieve outcomes with Microsoft technology. This role involves accelerating customer adoption by building Generative AI solutions, resolving blockers for AI Factory projects, and providing technical feedback to Engineering. The architect will lead technical conversations, design AI solutions aligned with business needs, and drive consumption growth. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building and architecting an agentic bidding platform for digital advertising, leveraging AI, machine learning, and large-scale distributed systems to optimize bids in real-time auctions. The role involves developing AI agents that monitor, reason, and adapt autonomously, optimizing advertiser ROI and driving significant revenue. | Agent | 7 |
| Senior Software Engineer/ Principal Software Engineer - Copilot CLI Senior/Principal Software Engineer to build a coding agent CLI and core agent loop for terminal experiences across GitHub and Microsoft. Focus on turning AI systems into reliable developer tools, with strengths in agentic systems, tool design, evaluation, and high-performance terminal UIs. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer role focused on the security and privacy backbone of Microsoft's Intelligent Conversation and Communications Cloud (IC3). The role involves setting technical strategy and architecture for AI-driven, agentic security tooling, including vulnerability detection, posture assessment, and remediation. It also requires defining and enforcing quality gates, exercising compliance judgment across various standards (SOC 2, HIPAA, FedRAMP, etc.), and driving partner alignment. The position emphasizes applying AI/ML pragmatically to reduce false positives and improve remediation throughput, establishing evaluation and safety patterns, and leading incident response. | AgentEval Gate | 7 |
| Senior Applied Threat Intelligence Analysts This role involves using AI, specifically building agents and pipelines, to enhance threat intelligence analysis and delivery for Microsoft Security customers. The focus is on understanding the threat landscape, tracking threat actors, and translating findings into actionable intelligence at machine speed. | Agent | 7 |
| 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 |
| 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 |