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 |
|---|---|---|
| Senior Principal Architect : Ads Trust & Safety AI Platform Senior Principal Architect for Microsoft Ads Trust & Safety AI Platform, defining and driving the next generation of AI systems for user protection, fraud prevention, and policy enforcement. This role involves architecting large-scale platforms for agentic investigation workflows, LLM reasoning, retrieval, model serving, and decisioning, requiring deep technical leadership and collaboration across multiple teams. | AgentServe | 9 |
| Principal Applied Scientist Principal Applied Scientist to define and develop next-gen intelligent, large-scale content platforms for AI-driven experiences. Responsibilities include modeling, experimentation, product impact, and technical leadership in areas like LLMs, information retrieval, ranking, grounding, search systems, and agentic AI. Focus on improving AI system information retrieval, reasoning, multi-turn conversations, tool use, response ranking, and grounded outputs. Requires hands-on experience tuning models at scale (SFT, preference optimization, distillation, data curation, evaluation, experimentation). Role involves leading scientific workstreams, influencing product direction, and collaborating with cross-functional teams. |
| AgentServe |
| 9 |
| Member of Technical Staff, Microsoft Robotics (Spatial AI) The Member of Technical Staff, Microsoft Robotics (Spatial AI) role focuses on designing, developing, and testing physical world models for robots to understand, predict, and reason about 3D physical environments. This involves building models for spatial structure, object relationships, physics dynamics, and scene semantics, enabling robots with physical intuition for manipulation, navigation, and interaction planning. The role contributes to world modeling, spatial AI, and foundation models for robotics, predicting physical world changes in response to robot actions. Responsibilities include designing and evaluating world models, building training data pipelines, and collaborating with researchers and engineers. | DataAgent | 9 |
| 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 Scientist (CoreAI) The Principal Applied Scientist will drive the applied science foundation for observability in AI agents and multi-agent systems at scale. This role focuses on understanding agent behavior in production, developing scientific methods, evaluation frameworks, and measurement systems to diagnose and improve agent-based systems. Responsibilities include developing evaluation and measurement frameworks, designing methodologies to connect offline evals with online signals, defining quality signals and benchmarks for agent systems, building models for behavior analysis, advancing observability through new approaches, partnering with engineering to operationalize methods, and contributing to instrumentation standards. The role also involves technical leadership, setting scientific direction, and collaborating with product and platform teams. | AgentEval Gate | 9 |
| Principal Research Engineer - Agent 365 Principal Research Engineer role focused on architecting and delivering scalable AI systems for Microsoft 365 Copilot experiences, including foundational models, multi-agent systems, and RAG. The role involves technical leadership, driving innovation, production integration, evaluation, and ensuring responsible AI practices. It requires experience with LLMs, multimodal models, multi-agent architectures, and RAG, with a focus on end-to-end ML pipelines and deployment at scale. | AgentServe | 9 |
| Senior Research Engineer Senior Research Engineer to design, implement, and ship research-driven solutions for autonomous agents, focusing on human oversight, assistance, and management within business processes. The role involves integrating agents, humans, and applications to streamline business processes and shape the future of human-AI collaboration. | Agent | 9 |
| Principal Software Engineer, Foundry Agents - CoreAI Principal Software Engineer role focused on building foundational platforms for intelligent agents and generative AI systems. Responsibilities include developing large-scale, cloud-native systems for agent deployment, execution, tool integration, fine-tuning, training, observability, evaluation, and optimization in production. The role operates at the intersection of distributed systems, AI infrastructure, and developer platforms, requiring strong systems thinking and architectural decision-making for systems demanding high performance, reliability, security, and compliance. | AgentPost-train | 9 |
| Senior and Principal Applied Scientists - CoreAI This role focuses on the applied science foundation for observability in AI agents and multi-agent systems running at scale. It involves developing and applying scientific methods, evaluation frameworks, and measurement systems to understand, benchmark, diagnose, and improve agent-based systems in production. The role addresses unique observability challenges of AI agents, such as non-deterministic execution and emergent behaviors. | AgentEval Gate | 9 |
| Member of Technical Staff, Capacity & Efficiency Infrastructure - MAI Superintelligence Team This role focuses on optimizing and managing the compute infrastructure for training large-scale AI models. The responsibilities include designing and implementing distributed training systems, building telemetry for performance monitoring, profiling and debugging bottlenecks, and driving architectural improvements for efficiency. The role requires strong software engineering skills in Python and C++, deep understanding of GPU architectures, and experience with distributed computing systems and ML workloads. | Serve | 9 |
| Applied Scientist II This role focuses on building and evolving the core orchestration and intelligent systems that power Microsoft's enterprise Copilot, a large-scale AI assistant for Microsoft 365. The work involves advancing model training, developing model-driven features from concept to production, and enhancing the orchestrator for improved reasoning, speed, and multi-modal/agentic capabilities. The goal is to ship cutting-edge AI technology impacting hundreds of millions of users. | AgentPost-train | 9 |
| Senior Software Engineer, CoreAI Senior Software Engineer on the FIT training team within Microsoft's CoreAI organization, focused on building and optimizing AI infrastructure for agentic AI systems. The role involves developing scalable infrastructure for training LLMs, SLMs, and agentic models to achieve frontier-level performance, contributing to both proprietary and open-source frameworks for enterprise-grade agentic workflows. | DataAgent | 9 |
| Principal Software Engineer, CoreAI This role focuses on building and optimizing the AI infrastructure for training agentic AI systems, including LLMs and SLMs, to achieve frontier-level performance. It involves developing scalable infrastructure and services for training, deploying, and monitoring these models in a cloud environment. | DataAgent | 9 |
| Member of Technical Staff, Principal Tech Lead Manager, Image Generation Principal Tech Lead Manager for Copilot's image generation capabilities, focusing on technical leadership, product delivery, evaluation systems, and team building. This role involves defining the technical roadmap, integrating new models, scaling evaluation frameworks, and leading a team of AI engineers to improve image quality and user satisfaction in a high-impact consumer product. | ShipEval Gate | 9 |
| Senior Software Engineer, CoreAI The AI Core Infrastructure team is responsible for building and managing the large-scale GPU management infrastructure and inference/training platforms that power Microsoft's AI workloads. This role focuses on the training infrastructure for large-scale model pre-training, post-training, and fine-tuning on advanced GPUs in Azure and partner clouds. | PretrainPost-train | 9 |
| Member of Technical Staff, Multimodal Infrastructure - MAI Superintelligence Team This role focuses on building and maintaining large-scale infrastructure for multimodal generative models, covering the full development cycle from data processing to training, inference, and serving. It involves working with research scientists and product engineers to optimize performance and drive architectural changes for consumer AI products like Copilot. | ServePost-train | 9 |
| Member of Technical Staff, Software Co-Design AI HPC Systems - MAI Superintelligence Team This role focuses on the co-design and productionization of next-generation AI systems at datacenter scale, optimizing end-to-end performance and efficiency. It operates at the intersection of models, systems software, networking, storage, and AI hardware, influencing accelerator design, system architectures, and large-scale AI platforms. The role involves analyzing real workloads, developing performance models, and partnering with various teams to drive high-impact ideas into production systems. It also contributes to research and the broader community through publications and open-sourcing. | ServePretrain | 9 |
| Member of Technical Staff - Pretraining Text Data Seeking engineers and researchers to join the Pretraining Text Data team to build the next generation of foundation large language models. The role involves designing and curating high-quality text datasets, developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical values. Responsibilities include creating datasets for training and evaluation, developing scalable data pipelines, analyzing datasets, building tools for auditing, and collaborating with safety and ethics teams. | Data | 9 |
| Member of Technical Staff - Data Scientist Data Scientist role focused on building next-generation post-training methods for frontier models at Microsoft AI. Responsibilities include designing evaluations, producing high-quality training data, building scalable data pipelines, and running post-training experiments to improve model capabilities like instruction following, coding, and agentic behaviors. The role operates across the full post-training lifecycle, from data generation to reward modeling and reinforcement learning, with a focus on turning raw model capability into reliable and measurable performance improvements. | Post-trainData | 9 |
| Member of Technical Staff, Reinforcement Learning Systems - MAI Superintelligence Team This role focuses on designing, developing, and operating large-scale reinforcement learning systems for training agents and reasoning models. It involves contributing to cutting-edge research and bridging the gap between research and production-grade distributed systems, with responsibilities including tuning pretraining software for specific GPU architectures and contributing to AI model development. | PretrainPost-train | 9 |
| Technical Program Manager - Generalist (AI/ML) Technical Program Manager for Microsoft AI's Superintelligence Team, focused on training frontier AI models. The role involves end-to-end program planning, coordinating with researchers and engineers, managing timelines, mitigating risks, and ensuring the responsible advancement of AI. | Pretrain | 9 |
| Member of Technical Staff - Multimodal - MAI Superintelligence Team This role is focused on building and advancing large-scale foundation models, with a specific emphasis on multimodal capabilities and ensuring AI systems are controllable, safety-aligned, and anchored to human values. The position involves algorithm development, model architecture design, experimentation, data pipeline innovation, and improving training/deployment efficiency, aiming to push the frontier of AI responsibly. | PretrainPost-train | 9 |
| Member of Technical Staff - Pre Training - MAI Superintelligence Team This role is focused on training frontier AI foundation models at Microsoft AI, specifically within the Pre-Training team of the Superintelligence Team. The responsibilities include developing algorithms, model architectures, data mixtures, and scaling laws for large-scale training, driving implementations, conducting experiments, and overseeing training runs. The role emphasizes collaboration with infrastructure, data, post-training, and multimodality teams. | Pretrain | 9 |
| Member of Technical Staff - Machine Learning (AI Team) This role focuses on developing and improving LLM models for general-purpose capabilities and products, with a strong emphasis on agentive experiences. Responsibilities include data acquisition/generation, generalizing ML solutions, leading evaluation efforts, adapting state-of-the-art research, and writing production-quality code. The role involves fine-tuning, training classifiers, and engineering prompts, aiming to push the boundaries of AI towards controllable, safety-aligned superintelligence. | Post-trainAgent | 9 |
| Member of Technical Staff, Evaluations Engineering - MAI Superintelligence Team This role focuses on building and scaling the evaluation infrastructure for generative AI models on large-scale GPU clusters. It involves developing sophisticated tools and techniques for reliability, performance, and health monitoring, and collaborating with model scientists on evaluation methods and inference strategies. The role also touches on pretraining software development and benchmarking. | Eval GateServe | 9 |
| Member of Technical Staff, Pre-Training Infrastructure - MAI Superintelligence Team This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity. | Pretrain | 9 |
| Senior Software Engineer Senior Software Engineer role focused on designing, shipping, and operating agentic support platforms and AI-driven autonomous support workflows for Microsoft's commercial business. The role involves end-to-end ownership of features, including orchestration, grounding, evals, observability, and SDK surfaces, with a strong emphasis on reliability, trustworthiness, and scalability of AI-managed support systems. | Agent | 8 |
| Principal Applied Scientist Principal Applied Scientist to lead the development of ML and generative AI systems for conversational commerce experiences within Microsoft Copilot. The role involves product discovery, ranking, personalization, reasoning, LLM-based systems, RAG, tool orchestration, and addressing quality/trust challenges, with a focus on shipping low-latency, reliable user-facing features. Technical leadership and Responsible AI practices are also key. | AgentServe | 8 |
| Software Engineer II Software Engineer II role on the Azure AI Foundry Customization team, focused on building and scaling the AI platform for Azure and Microsoft's flagship products. The role involves developing pre-training, mid-training, and post-training solutions, working with LoRA models, and handling inference at scale. Responsibilities include creating abstractions, infrastructure, and features for training, testing, validation, scaling, and optimization of ML algorithms, as well as driving customer-inspired innovations and ensuring code quality and security. | Post-trainServe | 8 |
| 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 |
| Principal Architect - Data AI This role focuses on architecting, designing, and delivering AI-driven transformation solutions for enterprise customers, with a strong emphasis on Azure AI services, machine learning models (including generative AI and LLMs), and AI agentic frameworks. The architect will lead client engagements, ensure solution performance and scalability, and guide customers through the deployment and operationalization of AI solutions. | AgentServe | 8 |
| Principal Software Engineer, Security AI Principal Software Engineer focused on building AI-powered security systems for Microsoft's cloud environment. The role involves designing, building, and operating production AI services that combine LLMs, agentic workflows, RAG, knowledge graphs, and multi-modal processing, with a strong emphasis on evaluation, responsible AI, and scalability within a large cloud platform. The candidate will lead architecture, design, and delivery of these systems, collaborating across various teams to translate AI advances into practical security solutions. | AgentServe | 8 |
| AI Engineer II & Senior AI Engineer - Getting Customers Ready for AI AI Engineer role focused on designing, building, and deploying AI-native systems for enterprise customers to securely adopt AI at scale. This involves working across the AI lifecycle, including model development, data pipelines, deployment, monitoring, and MLOps, with a focus on LLM-based applications, RAG, and agentic workflows within a security context. | AgentServe | 8 |
| Sr Software Engineer Senior Software Engineer to design and ship core components of an Agentic support platform, owning features end-to-end from prototype to production. Responsibilities include working across orchestration, grounding, evals, observability, and SDK surfaces, while ensuring production-readiness, trustworthiness, and scalability of AI-managed support systems. | Agent | 8 |
| Principal Software Engineer, Performance Tooling Principal Software Engineer focused on AI performance tooling and validation for LLMs, including defining technical strategy, architecting benchmarking systems, leading performance investigations, and influencing stakeholders across Microsoft and OpenAI to optimize inference performance and hardware efficiency. | Serve | 8 |
| Senior Data Scientist Senior Data Scientist role focused on developing and implementing methodologies to evaluate LLM performance for Copilot, including training classifiers, experimenting with data collection, and providing real-time performance signals. The role involves creating automated evaluation frameworks and working closely with user researchers and product leaders. | Eval Gate | 8 |
| Senior Software Engineer Senior Software Engineer role on the Foundry Agents team at Microsoft CoreAI, focusing on building a platform for Azure AI customization. The role involves end-to-end ownership of systems that enable AI to learn, improve, and scale in production, including pre-training, mid-training, and post-training solutions, LoRA model deployment, and large-scale inferencing. Responsibilities include developing ML algorithms, infrastructure, and features for training, testing, validation, scaling, and optimization, with a focus on making agentic AI economically viable for enterprises. | Post-trainServe | 8 |
| Senior Data Scientist - Agentic Systems Senior Data Scientist focused on building and shipping generative AI capabilities, specifically agentic systems, for a marketing analytics team. The role involves designing agent architectures, prototyping LLM skills, integrating with platforms like Azure DevOps, and leading vendor-developed work. The goal is to accelerate analyst delivery and create marketer-facing conversational analytics agents. | Agent | 8 |
| Senior AI Hardware Architect Senior AI Hardware Architect role focused on defining and optimizing next-generation AI accelerator platforms and large-scale AI systems. Responsibilities include analytical performance modeling, workload characterization, profiling, and end-to-end performance analysis across GPU and accelerator architectures, working across hardware, software, and system boundaries. The role involves analyzing AI workloads, identifying performance bottlenecks, developing models for new architectural features, and correlating silicon data with models to drive optimizations for performance, efficiency, and TCO. Collaboration with various hardware and software teams is key to shaping future AI accelerator and system architectures. | ServePost-train | 8 |
| Applied Scientist II Applied Scientist II at Microsoft AI focusing on Generative AI and Agentic Modeling for consumer products like Bing and Copilot. The role involves building and optimizing production ML models, working with SOTA generative models, analyzing large-scale data, designing experiments, and delivering insights for business decisions. Requires expertise in ML, Generative AI, Agentic Modeling, or Data Science, with hands-on experience with LLMs/SLMs. | Post-trainAgent | 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 |
| Principal Software Engineer - Red Team Principal Software Engineer to build AI capabilities that automate red team engagements using generative AI and agentic systems, advancing state-of-the-art attacker TTPs, and building online services for security defenders. | Agent | 8 |
| Applied Science: PhD Microsoft AI Internship Opportunities - Redmond This internship focuses on applying advanced machine learning techniques to solve complex business challenges in areas like search, personalization, NLP, computer vision, and recommendation systems. The role involves developing and scaling models, preparing datasets, building ML pipelines, and collaborating with cross-functional teams to deliver product-integrated solutions, with a focus on influencing future AI experiences. | AgentServe | 8 |
| Principal Applied Scientist (Multiple Openings) - Copilot and Agents Core Principal Applied Scientist role focused on designing and developing LLMs and underlying subsystems for Microsoft 365 Copilot and Agents Core. The role involves tailoring models for product scenarios, working with research and engineering teams, and delivering joint-class solutions, including custom LLMs and architecture for specific product needs. | Agent | 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 |
| Sr Software Engineer Senior Software Engineer to design and ship core components of an agentic sales platform, owning features end-to-end from prototype to production. Responsibilities include working across orchestration, grounding, evals, observability, and SDK surfaces, while raising the bar for agent development and evaluation. Requires experience building with agent stacks and a strong understanding of AI-native development principles. | Agent | 8 |
| Senior Software Engineer, CoreAI Senior Software Engineer on the FIT training team within CoreAI at Microsoft, focused on building and optimizing the AI infrastructure for training agentic AI systems and LLMs/SLMs to achieve frontier-level performance. The role involves developing scalable infrastructure, working with both proprietary and open-source frameworks, and ensuring enterprise-grade agentic workflows. | DataAgent | 8 |
| Senior Software Engineer Senior Software Engineer to build and manage the next generation of an agentic platform for developer productivity, orchestrating AI models. The role involves designing and improving core agent capabilities (tooling, planning, orchestration, evaluation, guardrails), building AI fundamentals (observability, reliability), and developing user experiences. Requires full-stack development, experience with LLM-powered agentic systems in production, and leveraging AI-assisted development tools. | Agent | 8 |
| Senior Data Scientist Senior Data Scientist role focused on end-to-end delivery of strategic data science and AI solutions for clients, including generative AI applications and agentic AI solutions. Responsibilities include business understanding, data preparation, modeling, insight communication, and collaboration, with a strong emphasis on responsible AI principles and integrating AI into client workflows. | AgentPost-train | 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 |