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 |
|---|---|---|
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 This role focuses on building and productionizing machine learning and generative AI systems for conversational commerce experiences within Microsoft Copilot. It involves developing models for product discovery, ranking, personalization, and reasoning, as well as LLM-based systems for conversational shopping, including RAG and tool orchestration. The role also addresses quality and trust challenges and defines evaluation frameworks, aiming to translate models into low-latency, reliable user-facing experiences. | AgentServe | 8 |
| Senior Applied Scientist Senior Applied Scientist role focused on building and scaling an AI-driven testing platform for Microsoft's AI products. The role involves using LLMs, prompt engineering, and agent-based workflows to validate product quality, design testing strategies, develop evaluation frameworks, and create actionable insights. The goal is to evolve the platform towards more autonomous and agentic workflows. | Agent | 8 |
| Senior Software Engineer -AI/ML Senior Software Engineer focused on building and scaling AI/ML-powered features for Windows, integrating multimodal input, agentic workflows, and generative AI. The role involves end-to-end development, from research and implementation of foundation models, prompt engineering, RAG, and multi-agent architectures, to fine-tuning, evaluation, and production deployment. Emphasis on creating inclusive and accessible experiences, particularly for users with disabilities, using human-centered AI. | AgentPost-train | 8 |
| Member of Technical Staff, Applied AI Engineer Applied AI Engineer role focused on building and shipping LLM-powered assistant features, agentic behaviors, and retrieval pipelines. Responsibilities include prompt architecture, orchestration logic, evaluation frameworks, hillclimbing for performance improvement, and developing internal tooling for experimentation and debugging. The role also involves integrating LLMs with product surfaces and building lightweight ML components for enhanced assistant intelligence. Requires experience in production-level code/models and working in fast-moving AI teams with a startup-like energy. | AgentEval Gate | 8 |
| Software Engineering Manager Engineering Manager to lead a team focused on building and scaling an agentic engineering platform for AI-powered developer productivity across Microsoft. The role involves managing engineers, setting team direction, fostering experimentation, and partnering with other teams to advance AI in developer workflows. | Agent | 8 |
| Principal Software Engineer (AI / Agentic Developer Productivity) The Principal Software Engineer will build and own the agentic engineering platform used across Microsoft, orchestrating AI models to enhance developer productivity. This role involves designing, implementing, and shipping features for the platform, advocating for best practices in agentic development, and mentoring other engineers. The focus is on creating the core agentic platform and experiences, with a tight feedback loop from internal developer customers. | Agent | 8 |
| Senior Software Engineer (AI / Agentic Developer Productivity) Senior Software Engineer to build and own the agentic AI platform for developer productivity at Microsoft scale, orchestrating AI models and experiences for thousands of developers. | Agent | 8 |