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 |
|---|---|---|
| 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 |
| Principal Product Management Principal Product Manager for Microsoft Edge, focusing on defining and shipping AI-native product strategies that leverage frontier AI capabilities to improve the user experience. The role involves inventing on behalf of users, turning research into shippable products, and driving AI-powered features to scale. | Ship |
| 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 Researcher, Office Product Group Senior Researcher role within the Office Product Group focused on advancing AI-powered experiences in Microsoft 365 applications. The role involves designing, developing, evaluating, and deploying AI systems that can reason and act across tools and documents, balancing innovation with production readiness. | AgentPost-train | 8 |
| Principal Applied Scientist Principal Applied Scientist role at Microsoft AI Web Data team focused on building the data foundation for Bing and Microsoft AI experiences, including large-scale grounding and LLM training. The role involves translating research into production, advancing state-of-the-art modeling, and deploying algorithms and solutions to improve system performance, quality, data management, and accuracy. | Post-trainPretrain | 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 |
| Principal Applied Scientist This role focuses on building the data foundation for Bing and Microsoft AI, involving large-scale grounding and LLM training. The Principal Applied Scientist will translate research into production, developing and deploying algorithms and solutions to improve system performance, quality, data management, and accuracy. The role emphasizes developing deep expertise, partnering with stakeholders, mentoring junior talent, and collaborating across teams to shape the future of AI. | DataPost-train | 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 |
| Principal Product Manager Principal Product Manager for Microsoft Copilot Studio's Intelligent Actions team, focusing on setting the vision and strategy for agentic AI capabilities, driving cross-functional collaboration, building prototypes with AI tools, and ensuring responsible AI practices. The role requires a deep understanding of agentic AI patterns and a builder's mindset to translate complex AI concepts into customer-facing products. | 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 |
| Senior Applied Scientist and Principal Applied Scientist This role focuses on developing and industrializing deep learning speech technologies, with a specific emphasis on integrating speech with LLMs for multimodal modeling. The scientist will invent new algorithms, apply them to real products, and evaluate their performance against guardrails, impacting millions of users. | Post-trainServe | 8 |
| AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration Postdoctoral Researcher focused on integrating experimental biological data with machine learning models for biomolecular simulation and drug discovery. The role involves designing and scaling experimental datasets, developing methods to connect ML models with experimental observables, and creating closed-loop workflows between models and experiments. | Data | 8 |
| Principal Applied Scientist This role focuses on building and leading the development of advanced multilingual speech models, AOAI finetuning, and multimodal generative AI for Microsoft's Azure Speech team. The goal is to create transformative speech technologies for voice agents, transcription, and call centre analytics, impacting billions of users globally, with a special focus on India. The role involves setting technical direction, driving innovation, scaling model quality, and delivering breakthrough technologies. | Post-trainServe | 8 |
| Software Engineer II and Sr. Software Engineer - AI Frameworks Develops software for AI/ML frameworks and tools, focusing on ONNX and ONNX Runtime for high-performance inference and training acceleration across various hardware. Also works on on-device AI inference solutions. | Serve | 8 |
| Member of Technical Staff, Microsoft Robotics (Robotics Simulation) This role focuses on designing, developing, and optimizing physics-based simulation frameworks for robotics applications. It involves creating high-fidelity simulation environments for robot kinematics, dynamics, sensors, and actuators, enabling reinforcement learning training, closed-loop policy evaluation, synthetic data generation, and sim-to-real transfer. The role bridges advanced physics simulation, robotics autonomy, and ML infrastructure to accelerate the development and deployment of physically grounded AI. | DataAgent | 8 |
| Principal Applied Scientist The Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond, impacting millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. The role involves developing and deploying models including transformers, generative AI, and reinforcement learning for ads selection, generation, and relevance, building robust data pipelines for large-scale datasets, and staying at the forefront of AI research. | Ship | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on developing and shipping innovative machine learning solutions, particularly large language models and conversational search experiences, for Microsoft products. Responsibilities include training models, creating evaluation sets and infrastructure, fine-tuning LLMs, and driving projects from design to implementation and shipping. The role involves deep data analysis, prompt engineering, and setting up engineering pipelines. Experience with production systems and end-to-end AI product development is emphasized. | Post-trainServe | 8 |
| Principal Consultant, AI Business Solutions Principal Consultant for AI Business Solutions at Microsoft, focusing on co-engineering GenAI and agentic solutions for enterprise customers on Microsoft platforms. The role involves translating ambiguous business needs into working prototypes and production-ready solutions, with a strong emphasis on end-to-end delivery, risk mitigation, and operational readiness. Responsibilities include implementing agentic workflows, integrating with customer environments, and ensuring the security, compliance, and reliability of AI systems. | AgentShip | 8 |
| Principal Software Engineer - Microsoft AI Search Principal Software Engineer to define and build AI-native platforms for AI-powered visual discovery, integrating multimodal understanding, LLMs, and high-performance distributed systems for Bing Image Search and other Microsoft AI experiences. The role involves setting technical direction, owning product/platform areas, applying LLMs and multimodal AI in production, and designing scalable platforms. | ShipAgent | 8 |
| Data Scientist II Data Scientist II role focused on building and deploying production AI/ML systems, including Generative AI and optimization, for Microsoft Devices Operations (MDO) to improve supply chain, manufacturing, and delivery processes. The role involves end-to-end ownership from prototype to deployment, applying MLOps best practices, and collaborating with business stakeholders. | Ship | 8 |
| Principal Technical Program Manager This role is for a Principal Technical Program Manager at Microsoft Research focused on translating early-stage AI research into shippable products and services. The role involves shaping technical concepts into product roadmaps, driving execution with Azure engineering, managing supplier relationships, and owning program structure from prototype to general availability. It bridges research and production, focusing on AI infrastructure and systems, and involves closing the loop from production back to research. | ShipPretrain | 8 |
| Principal Applied Scientist Lead the science behind Copilot Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. Set technical direction, mentor scientists, and partner with engineering, PM, UXR, and policy to ship end-to-end outcomes. | ShipAgent | 8 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer for Microsoft's Growth Intelligence team, focusing on Copilot. The role involves designing, building, and deploying ML models and pipelines for user and conversation understanding, including intent detection, topic classification, summarization, and persona generation. Key responsibilities include NLP, representation learning with transformer models, embedding pipelines, vector databases, RAG, and rigorous experimentation for production deployment and improvement. | AgentServe | 8 |
| Senior Data Scientist Senior Data Scientist role within Microsoft's AI Engineering team in the Devices Operations (MDO) organization. The role focuses on developing and deploying AI experiences for supply chain, manufacturing, and device delivery operations. Responsibilities include partnering with stakeholders, framing problems, architecting and building production-grade AI systems (ML/DL, GenAI, optimization), and driving engineering excellence. Requires a strong background in data science and experience shipping production AI systems, ideally in operational environments. | Ship | 8 |
| Principal Software Engineering Manager-CoreAI Principal Software Engineering Manager for Microsoft's CoreAI team, focusing on building foundational platforms, services, and developer experiences for Generative AI applications. The role involves leading a team to deliver SDKs, UI, and agentic experiences, including model inferencing, knowledge systems, AI services, model customization, and multi-agent solutions. Emphasis on technical direction, coaching engineers, and understanding customer needs to translate them into platform capabilities and user experiences. | Agent | 8 |
| Principal Software Engineer Principal AI Architect responsible for defining and driving the end-to-end Cloud + AI + Agentic architecture for next-generation tools/applications/agents for Microsoft's Customer Success and Consulting businesses. This role involves partnering with engineering and product leadership to deliver secure, reliable, scalable, and cost-effective AI systems, establishing a roadmap for the Agentic era, and embedding Responsible AI principles. | Agent | 8 |
| Applied Scientist II and Senior Applied Scientist This role focuses on building and maintaining production ML models for ad retrieval, quality prediction, and creative generation within Microsoft's monetization platform. It involves analyzing web-scale data, designing experiments, optimizing LLM prompts, and handling large datasets to provide insights for executive decision-making. The work powers products like Bing Ads and Copilot. | Ship | 8 |
| Applied Researcher 2/ Senior Applied Researcher Applied Researcher role focused on post-training code specific models and agentic research for developer tools like Github Copilot and VS Code. The role involves building and managing large-scale ML experiments, creating new datasets, and collaborating with product teams to take research from concept to product. | Post-trainAgent | 8 |
| Applied AI Engineer II Applied AI Engineer II role focused on building agentic AI services for Azure customer support. Responsibilities include translating product specs into AI architectures, developing LLM-based solutions with orchestration and RAG, building evaluation systems, writing production code (C#/Python), deploying services with CI/CD and observability, and integrating with Azure services. The role emphasizes shipping production services that directly impact customers and applying Responsible AI practices. | Agent | 8 |
| Principal Applied AI Engineering Manager This role leads an AI engineering pod focused on building and shipping production agentic AI services for Azure customer support. Responsibilities include hiring and coaching engineers, driving the end-to-end lifecycle of AI agents (LLM orchestration, multi-agent workflows, RAG, evaluation), setting technical direction, ensuring production health and reliability, building evaluation systems, influencing roadmaps, driving business impact, ensuring responsible AI, and developing engineering talent. | AgentEval Gate | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on building and shipping AI-powered recommendation and generative experience systems for Microsoft's consumer ecosystem. The role involves end-to-end ownership of the personalization stack, including large-scale retrieval, deep ranking, whole-page optimization, reinforcement learning, and LLM-powered generative experiences, serving billions of requests daily with low-latency production infrastructure. | ShipAgent | 8 |
| Product Manager Product Manager for Windows 365 for Agents, a platform for AI agents to autonomously execute computer-use tasks within a secure, cloud-hosted Windows environment. The role involves defining APIs, runtime primitives, safety guardrails, and admin controls for agentic computing at enterprise scale, working with frontier models and agent frameworks to deliver shipping product. | Agent | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on developing advanced multilingual speech models, LLM speech finetuning, and multimodal generative AI for real-time transcription, intelligent voice agents, and multilingual speech solutions within Microsoft's Azure Speech team. The role involves setting technical directions, building novel data generation solutions, and collaborating with global teams to deliver impactful speech technologies for Microsoft products and enterprise solutions, with a focus on India. | Post-trainAgent | 8 |
| Principal AI Software Engineer Principal AI Software Engineer to architect and deliver autonomous agentic security experiences using LLMs, knowledge graphs, and the Microsoft Security Graph. The role involves designing and implementing security agents for investigation, remediation, and attack simulation, driving AI-native platform design, and shaping AI-for-security strategy. Requires deep expertise in LLM application development, RAG, agent frameworks, and systems design for production AI systems in a security context. | Agent | 8 |
| Senior Software Engineer Senior Software Engineer 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-backed data features, and defining evaluation strategies for LLM features, while applying Responsible AI practices. | Agent | 8 |
| Principal Software Engineer Principal Software Engineer on the Azure Artificial Intelligence Core team, responsible for designing, building, and maintaining AI systems powering large-scale multimodal workloads. This role involves end-to-end ownership from API interfaces to inference backends, with a focus on safety, real-time audio interaction, image/video generation, and benchmarking/optimizing LLM performance. Collaboration with OpenAI and internal teams is key. | AgentServe | 8 |
| Software Engineer 2 Software Engineer 2 on the Microsoft Azure AI Inference platform team, responsible for the hosting, optimization, and scaling of the inference stack for Azure AI Foundary models, including those from OpenAI and other OSS providers. The role focuses on designing and implementing core inference infrastructure, improving performance and efficiency for LLMs and GenAI models, and scaling the platform to meet growing demand. | Serve | 8 |
| Senior Applied Scientist Senior Applied Scientist to design and implement state-of-the-art ML models for Microsoft Ads and Copilot, impacting millions of users. Responsibilities cover the full modeling lifecycle from data strategy to deployment and evaluation, focusing on scalable solutions for ad relevance and user experience. | Ship | 8 |
| Principal Product Manager Principal Product Manager to define and drive the strategy for Vertical Knowledge Agents that combine structured data, licensed content, and AI grounding to deliver insights across Copilot, MSN, and Bing. The role involves influencing agent architecture, ranking frameworks, and multimodal UX, partnering with AI research and engineering to ship agentic experiences, and championing Responsible AI. | Agent | 8 |