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 |
|---|---|---|
| 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. | Ship |
| 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 Applied Scientist Senior Applied Scientist focused on retrieval technologies for Microsoft 365 Copilot, specifically Search, Chat, and Agent experiences. The role involves designing, experimenting with, and evaluating retrieval and ranking systems, including semantic, dense, sparse, and hybrid retrieval, RAG, and LLM-integrated architectures, to enhance grounding, relevance, and reasoning for millions of enterprise users. | AgentServe | 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 |
| 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 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 |
| Software Engineer II Software Engineer II on Microsoft's AI Applied Engineering team, focused on co-innovating and improving AI platforms by applying them to real-world enterprise customer scenarios using Azure AI services like LLMs, Speech, and Search. The role involves architecting and developing end-to-end Agentic AI solutions, integrating new Azure services and AI technologies, and collaborating with other teams to drive learnings back into the AI Foundry platform. | AgentPost-train | 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 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 |
| 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 |
| Senior Software Engineer Senior Software Engineer on the Bing GenAI team, responsible for the architecture and development of high-performance services powering generative AI features in Bing and Copilot. This includes prompt engineering, C#-based service layers, and guiding project delivery for features like web grounding, search mode, answer cards, and generative UI. The role involves technical leadership, mentoring, and ensuring the availability, reliability, and performance of large-scale AI systems. | Ship | 8 |
| Senior Applied Scientist Senior Applied Scientist to lead the development of machine learning and generative AI systems for conversational commerce experiences within Microsoft Copilot. This role focuses on product discovery, ranking, personalization, and reasoning, involving LLM-based systems, RAG, tool orchestration, and addressing quality/trust challenges. The role also involves defining evaluation frameworks and partnering with product/engineering teams to deliver low-latency experiences. | AgentServe | 8 |
| Applied Scientist II Applied Scientist II on the Core Search and AI team (Bing) to build the next generation of search using large language models at scale. Responsibilities include developing retrieval, ranking, and relevance systems, refining RAG pipelines, and translating research into production deployments. Requires experience with ML systems for search/ads/recommendation and LLMs. | AgentServe | 8 |
| Machine Learning Engineer ML Engineer for Microsoft Office AI team to build core platforms and experiences integrating LLMs into Office applications. Responsibilities include developing intelligent features, deploying AI solutions on Azure, and productionizing ML models at scale, focusing on agentic systems and their underlying infrastructure. | AgentServe | 8 |
| Principal Software Engineer Principal Software Engineer at Microsoft CoreAI, focusing on building SDKs, UI, and agentic experiences for generative AI applications. The role involves defining, architecting, and developing agent platform services and developer experiences, enabling customers to build, deploy, evaluate, and manage intelligent agents at scale. Key responsibilities include leading API, SDK, CLI, and UI development, and owning architecture decisions for agent orchestration, knowledge integration, tool calling, and multi-turn conversations. | Agent | 8 |
| Manager- Applied Sciences / Machine Learning Manager for a Core Recommendation and Content Generation team at Microsoft, focusing on LLMs and NLP to drive user engagement across various Microsoft platforms. The role involves leading a team of Applied Scientists and ML Engineers, defining technical strategy, and overseeing end-to-end execution of ML solutions. | ShipAgent | 8 |
| Senior Software Engineer, Foundry Agents - CoreAI Senior Software Engineer role focused on building and evolving large-scale, cloud-native systems for the end-to-end lifecycle of intelligent agents. This includes secure enterprise deployment, governed tool integration, model fine-tuning, training workflows, and production observability, evaluation, and optimization. | AgentPost-train | 8 |
| Principal Applied Scientist Principal Applied Scientist role focused on building and scaling AI-powered content recommendation systems for Microsoft Copilot Discover. The role involves advancing the recommendation and ranking stack using LLMs and multimodal models, deepening user and content understanding, scaling ML/AI systems, and driving innovation in AI-forward products like agentic content feeds and generative UI. The position requires technical leadership, mentoring, and close collaboration with engineering, product, and policy teams. | ShipAgent | 8 |
| Principal Architect Principal Solutions Architect role focused on architecting and delivering complex, high-impact AI and cloud transformation programs for enterprise customers. This involves designing AI platforms, LLM/SLM-based services, and digital agents, while also providing technical leadership and executive advisory. The role emphasizes end-to-end solution architecture, governance, and delivery excellence, with a focus on Microsoft Azure and generative AI technologies. | AgentServe | 8 |
| Principal Data and Applied Scientist Principal Data and Applied Scientist role within Microsoft's EngOps team, focusing on developing and deploying cutting-edge GenAI and ML solutions to improve Azure customer experience, security, reliability, and quality. The role involves the full AI project lifecycle, from ideation to production, with a strong emphasis on experimentation, evaluation, and collaboration with cross-functional teams. Requires experience in building and deploying live production systems and delivering AI product features. | Ship | 8 |
| Member of Technical Staff - Technical Program Manager This role is for a Principal Technical Program Manager (TPM) focused on building runtime defenses for agentic AI systems like Copilot. The TPM will own the end-to-end delivery of security capabilities such as misuse detection, adaptive guardrails, and containment mechanisms. The role requires translating ambiguous threat models into shippable, operable defenses in a scaled AI product, operating at the intersection of security engineering, AI research, and platform systems. It emphasizes direct technical execution and making complex systems land in production under adversarial pressure, rather than process or coordination. | AgentEval Gate | 8 |
| Principal Software Engineer - Performance Principal Software Engineer focused on optimizing the performance of AI model inference, particularly LLMs, across various hardware platforms (GPUs, Microsoft silicon). The role involves deep technical work on the AI software stack, from fundamental abstractions to system-level optimizations, aiming to improve efficiency and reduce costs for large-scale AI deployments, including those for Azure OpenAI service. | Serve | 8 |
| Senior Software Engineer - Copilot Security Senior Software Engineer to develop security features and solutions for agentic AI in Copilot, focusing on protecting customers and enabling new capabilities. The role involves designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies for safe and responsible AI actions at scale. | Agent | 8 |
| Principal Software Engineering-CoreAI Principal Software Engineer at Microsoft Foundry, Core AI, focused on building and scaling the platform for intelligent agents and generative AI systems. This role involves driving technical direction, architectural decisions, and ensuring quality, reliability, security, and compliance for large-scale AI systems. The engineer will mentor others, influence without authority, and champion automation and responsible AI practices. | Agent | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on building and optimizing generative AI models, particularly LLMs and agentic systems, for Microsoft's consumer products like Bing and Copilot. The role involves hands-on work with SOTA models, prompt engineering, large-scale data analysis, and experimental design to improve search experiences and deliver impactful AI features. | Agent | 8 |
| Senior Software Engineer - CoreAI Senior Software Engineer role focused on building the foundational platform and distributed systems for agentic AI applications at scale. This includes developing cloud-native infrastructure, runtime systems, and orchestrating agent-based AI applications with enterprise-grade guarantees, while integrating multi-modal capabilities. | Agent | 8 |
| Principal Applied Scientist Principal Applied Scientist Architect for the Core Recommendation Ranking team, focusing on integrating GenAI and agentic systems into large-scale content recommendation and ranking stacks for consumer-facing Microsoft surfaces. The role involves designing, implementing, and architecting advanced ML/DL models, including LLMs, for ranking, reranking, and retrieval, with a strong emphasis on production ML systems at scale and cross-team technical leadership. | ShipAgent | 8 |
| Software Engineering, CoreAI Software Engineer role focused on building and managing large-scale GPU infrastructure and training/inference platforms for AI models (LLMs, SLMs, multimodal, code-specific) on Azure and partner clouds. Responsibilities include architecting, designing, and developing core AI infrastructure services, collaborating with researchers, and enhancing system stability, latency, security, and maintainability for training runs. | PretrainPost-train | 8 |