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 224 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
Microsoft currently has 313 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (18), Senior Software Engineer (17), Software Engineer II (6), Principal Applied Scientist (5), Principal Data Scientist (4). Most positions are in Engineering and Research.
Microsoft's active AI hiring is concentrated in: agents (39%), application (22%), serving infrastructure (18%). 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 (271 roles), Canada (15 roles), Japan (10 roles), United Kingdom (8 roles).
Job postings at Microsoft most frequently mention: Computer Architecture, Python, Machine Learning, C#, C++.
In the past 30 days, Microsoft has posted 245 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Group Product Manager-AI Skilling Group Product Manager responsible for setting the vision, strategy, and roadmap for AI-powered skilling experiences. This role involves partnering with Design and Engineering to ship LLM-powered features, defining success metrics, prioritizing investments, and driving adoption and retention of AI learning products. | Ship | 7 |
| Principal Software Engineer Principal Software Engineer at Microsoft Quantum focused on building system software for quantum computers, integrating AI, and developing novel algorithms for computationally hard problems. The role involves designing, implementing, and optimizing software and firmware subsystems for quantum hardware, with a focus on quantum error correction and real-time quantum stacks. | Data |
| 7 |
| Senior Software Engineer - AI Frameworks Senior Software Engineer role focused on optimizing large language model (LLM) deployment on Microsoft's MAIA AI accelerators and GPUs. The role involves building software across the stack, including PyTorch, inference systems (vLLM, SGLang), and performance-critical runtime/kernel components. Responsibilities include architecting tensor computation primitives, extending PyTorch for custom accelerators, improving inference stacks, and optimizing kernels for LLM inference and training workloads. | Serve | 7 |
| Principal Product Manager Principal Product Manager for Microsoft Dynamics 365 Contact Center, focusing on AI-led voice capabilities. The role involves owning the strategy, vision, and roadmap for AI-powered voice experiences, including cloud telephony, IVR, real-time voice AI, and post-call analytics. It requires collaboration with various Microsoft teams, engagement with strategic customers, and driving go-to-market readiness. The role also involves mentoring other PMs and representing Microsoft externally in the CCaaS and contact center AI space. | ShipServe | 7 |
| Senior Applied Scientist The Signals Modeling team builds core intelligence for predicting user interaction with ads, designing and training large-scale transformer models for ad ranking, pricing, and optimization. They own end-to-end ML systems, from data construction to deploying models that drive revenue and ROI in a massive ads ecosystem. | Ship | 7 |
| Software Engineering II- Full stack Full Stack Engineer to build LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows and scalable LLM-backed data features, focusing on AI Engineering and modern LLM-based systems. | Agent | 7 |
| Senior Director, AI Business Solutions Leader (Healthcare) Senior Director role focused on leading a team to drive AI adoption within healthcare environments, translating AI capabilities into scalable, real-world use cases and operationalized solutions. This involves people management, customer advocacy, and ensuring solutions align with business goals and company methodologies. | Ship | 7 |
| Senior Applied Scientist This role focuses on building and scaling Azure's next-generation Model Router, which involves optimizing and deploying LLMs at a global scale. The responsibilities include applying advanced concepts to product needs, working with large-scale computing frameworks for model improvement, deploying and evaluating models in production, and monitoring their performance over time. The role also involves collaboration with product groups, mentorship, and documentation. | ServeShip | 7 |
| Senior Software Engineer Senior Software Engineer role in Microsoft's CoreAI division, focusing on building AI-powered developer tools and planet-scale platforms with enterprise trust, security, and reliability. The role involves designing, building, and operating core platform services for developers across the entire application lifecycle, including AI-native engineering practices and AI-enabled systems to improve various aspects of the software development lifecycle. | Ship | 7 |
| Principal Security Researcher Principal Security Researcher focused on designing and executing advanced adversary simulations using AI-enabled and agentic systems. The role involves evaluating AI-driven detections and defenses, translating attacker tradecraft into actionable insights, and contributing to the development of AI-driven security research workflows. | Agent | 7 |
| Principal Security Researcher Principal Security Researcher (Red Team) at Microsoft, focused on using AI and agentic systems to scale offensive security research, adversary emulation, and tooling development. The role involves designing and executing complex attack simulations, developing advanced offensive tools, and evaluating defensive systems, with a strong emphasis on AI-enabled automation and adaptive attack paths. | Agent | 7 |
| Software Engineer II, Foundry Agents - CoreAI Software Engineer II role focused on building foundational platforms for intelligent agents and generative AI systems within Microsoft Foundry. The role involves developing large-scale, cloud-native systems for the end-to-end agent lifecycle, including secure enterprise deployment, tool integration, model fine-tuning, and production observability/evaluation. It sits at the intersection of distributed systems, AI infrastructure, and developer platforms. | AgentServe | 7 |
| Senior Security Researcher Senior Security Researcher role focused on offensive security research using AI-enabled and agentic systems to emulate real-world cyberattacks. The role involves designing and executing adversary simulations, developing offensive tooling, conducting malware research, and leveraging threat intelligence. A key aspect is utilizing AI and LLM-driven workflows to scale attack development, automation, and simulation fidelity, while partnering with blue teams to improve detections and defensive capabilities. | Agent | 7 |
| Senior Software Engineer - AI Frameworks Senior Software Engineer on the AI Frameworks team at Microsoft, focusing on developing AI software that enables running AI models across various devices and hardware. The role involves hands-on software design and development in C/C++ for large-scale model training and inference on novel AI hardware, requiring a strong engineering background and the ability to solve complex technical problems. | Serve | 7 |
| Principal Consultant, Apps & AI This role focuses on delivering enterprise AI solutions using Azure OpenAI, Azure AI Services, and custom machine learning. It involves designing and implementing secure, advanced agentic AI systems and optimized RAG architectures, requiring expertise in full-stack application engineering, cloud-native architecture on Azure, and DevOps. The role also emphasizes solutioning, pre-sales, and technical leadership, with a requirement for relevant Azure AI certifications. | AgentServe | 7 |
| Senior Consultant Apps - (AI + Full stack ) Senior Consultant role focused on designing and delivering end-to-end, industry-aligned, AI-powered cloud-native applications for enterprise customers. Combines full-stack engineering, applied AI, and Azure cloud expertise with a consulting mindset to drive business outcomes and digital transformation. | Ship | 7 |
| Principal Software engineer Principal Software Engineer in the CoreAI organization at Microsoft, focusing on building and integrating Responsible AI services. The role involves developing customer-facing, high-performance, low-latency, and high-availability AI services, improving AI tools across the SDLC, and ensuring Responsible AI controls and engineering-health metrics are embedded. Responsibilities include coding, system design, driving engineering excellence, implementing AI features with guardrails, and ensuring reliability and supportability. | ShipServe | 7 |
| Principal Data Scientist Principal Data Scientist role within Microsoft's Industry Solutions Engineering (ISE) team, focusing on developing AI-powered cloud solutions for customers. The role involves data acquisition, model evaluation, research, and strategy definition, with a strong emphasis on customer collaboration and delivering impactful, scalable solutions. | Ship | 7 |
| Principal Software Engineer Principal Software Engineer to lead architecture and delivery of a Teams-integrated product (Innovation Studio) that uses agentic AI workflows, Azure-native services, and modern web experiences to help organizations run hackathons and accelerate ideas. The role involves defining how the team uses agentic development itself for various SDLC stages. | Agent | 7 |
| Applied Scientist II The Applied Scientist II will design, develop, and ship AI models into the Teams media stack, focusing on real-time conversation products like Teams. This role involves building end-to-end ML systems, from data cleaning and feature engineering to model training, evaluation, and deployment, with an emphasis on optimizing for performance and memory, and updating deployed models based on A/B testing. | ServePost-train | 7 |
| Senior Software Engineer Senior Software Engineer on the Bing Multimedia team, focusing on AI-powered visual discovery and multimodal experiences. The role involves designing and building large-scale AI systems, integrating LLMs and multimodal AI into production, and contributing to both backend services and user-facing components for Bing Image Search and other Microsoft AI products. | ShipAgent | 7 |
| Principal Software Engineer - Performance Tooling The Principal Software Engineer - Performance Tooling role focuses on optimizing the performance of AI models, particularly LLMs, across various hardware platforms (GPUs, CPUs) and software layers. This involves benchmarking, debugging, profiling, and optimizing for large-scale training and inference to reduce deployment time and hardware footprint, contributing to the efficiency of AI services like Azure OpenAI. | Serve | 7 |
| Senior Site Reliability Engineering This role focuses on building and extending AI-driven agents for incident triage, classification, and automation within Microsoft's Azure Data engineering team. The goal is to replace manual operations with engineered solutions, improving the stability and efficiency of cloud-scale data infrastructure. | Agent | 7 |
| Architect - AI Business Solutions This role focuses on architecting and designing AI solutions, specifically leveraging Microsoft's Copilot and agent technologies, to address customer business challenges. The architect will assess customer AI readiness, translate business requirements into technical solutions using Power Platform, Azure, and Microsoft 365 Copilot, and ensure scalable, secure, and compliant deployments. The role involves close collaboration with customers, product engineering, and delivery teams to drive adoption and validate business value. | Agent | 7 |
| Senior Consultant, AI Business Solutions This role focuses on co-engineering Generative AI and agentic solutions for enterprise customers on Microsoft platforms. The consultant will translate ambiguous business needs into requirements, design and implement GenAI/agentic solutions, prototype rapidly, and ensure production-ready implementations with testing, monitoring, and secure deployment. Key responsibilities include identifying and mitigating AI-specific risks, building agentic workflows with tool invocation and guardrails, and implementing evaluation strategies for AI output quality and safety. | Agent | 7 |
| Senior Consultant, AI Business Solutions Senior Consultant, AI Business Solutions at Microsoft, focusing on co-engineering GenAI and agentic solutions for customers on Microsoft platforms. The role involves translating ambiguous business needs into working prototypes and production-ready solutions, with an emphasis on end-to-end delivery, risk mitigation, and evaluation of AI outputs. Requires strong engineering and consulting skills to deliver measurable business outcomes. | Agent | 7 |
| Forward Deployed Engineer Forward Deployed Engineer (FDE) role focused on building and deploying AI-powered solutions for customers, working at the intersection of advanced AI technology and real-world business impact. Responsibilities include engineering data pipelines, building custom applications, deploying scalable workflows, and monitoring/refining solutions. Requires practical experience with AI/LLMs in production and leveraging generative AI. | AgentServe | 7 |
| Data Scientist 2 Data Scientist role focused on applying machine learning and statistical analysis to develop, train, optimize, and evaluate models for enterprise customers. The role involves data preparation, model evaluation, and integrating these models into customer systems, with a strong emphasis on Responsible AI. | Post-train | 7 |
| Senior Software Engineer Senior Software Engineer role focused on integrating AI capabilities into traditional computer systems and products across Microsoft's Experiences & Devices division. The role involves formulating design patterns, creating prototypes, architecting solutions, and delivering AI-enabled experiences, with a focus on agent-based systems and AI integration into agent workflows. | Agent | 7 |
| Principal Product Manager Product Manager for the IQ Team (Ontology & Semantic Layer) within Azure Data, focusing on building the semantic backbone that gives AI agents context to reason about business. The role involves defining and delivering the semantic layer vision for Fabric, driving AI-native scenarios by grounding agents in live business operations, and leading end-to-end product strategy and execution for AI solutions on the Fabric platform. | Agent | 7 |
| Software Engineer Software Engineer role focused on building an agentic engineering platform for AI-powered productivity across Microsoft's codebases, involving AI models and orchestration frameworks. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building an agentic engineering platform for Microsoft developers, leveraging AI models and orchestration frameworks to enhance software engineering workflows like code refactoring and understanding. The role involves designing, developing, and deploying platform capabilities, applying AI-assisted development tools, and mentoring other engineers. | Agent | 7 |
| Principal Software Engineer This Principal Software Engineer role focuses on building a new AI agent platform for enterprise use within Microsoft Copilot Studio. The role involves designing and delivering scalable, secure, and reliable platform capabilities for autonomous agents that can perform multi-step work, operate across contexts, and integrate with Microsoft 365 and Power Platform tools. The position is at the intersection of distributed systems, applied AI, and user experience, requiring leadership in system design, technical execution, and championing engineering excellence. | Agent | 7 |
| Applied Scientist II (Bing Places) Applied Scientist II role on the Bing Places team, focusing on building and shipping AI/ML solutions for local search experiences. The role involves end-to-end work from problem formulation to production deployment, with a focus on LLMs, RAG, learning-to-ranking, and entity understanding. Collaboration with engineering and product partners is key, with opportunities for publications and patents. | AgentServe | 7 |
| Senior Applied Scientist (Bing Places) Senior Applied Scientist role focused on leveraging LLMs, SLMs, and RAG models to improve the Bing Places platform. The role involves designing, developing, and deploying AI solutions, creating data pipelines, and staying updated on AI/ML research. Collaboration with multidisciplinary teams and mentoring junior members are key aspects. | Agent | 7 |
| Principal Research Manager Principal Research Manager to lead AI research strategy and execution for Microsoft's Commercial Engineering & AI (CEAI) division, focusing on transforming commercial business with AI-native engineering and intelligent systems. The role involves managing a research team, driving AI UX innovation, and ensuring research directly informs product development and delivers measurable impact for users and the business. | Ship | 7 |
| Security Solution Architect AI & Cybersecurity Solution Architect responsible for leading AI security pre-sales for complex AI and cybersecurity solutions on Microsoft Cloud, translating client requirements into custom security architectures, and acting as a trusted advisor to CISOs and Chief AI Officers. | Agent | 7 |
| Azure Apps & AI Cloud Solution Architect (CSA) This role is for an Azure Apps & AI Cloud Solution Architect (CSA) focused on Federal Government and Defence customers in highly regulated environments. The primary responsibility is to design, enable, and scale modern cloud applications and secure AI solutions on Azure, helping customers move from AI pilots to production and drive Azure consumption and innovation. | AgentShip | 7 |
| Applied Data Scientist II This role focuses on developing and operationalizing machine learning models for threat detection within Microsoft's security ecosystem. It involves building supervised and unsupervised models, applying graph-focused ML techniques, and analyzing large security datasets. The role also includes data engineering for feature pipelines and running experiments to improve detection quality, with a strong emphasis on translating research into production-ready solutions. | Post-trainData | 7 |
| Principal Architect - Apps & AI Principal Architect role focused on leading enterprise-scale AI adoption and delivery, embedding AI-native principles, and driving intelligent automation and agentic workflows. The role involves acting as a trusted advisor to C-suite executives, shaping technical strategies, and ensuring engineering excellence and compliance in regulated environments. | Agent | 7 |
| Principal PM Manager--SOX ODSP Product Management Manager role focused on leading a team to define and drive the product roadmap for AI-powered collaboration experiences within the OneDrive and SharePoint organization. The role involves people leadership, product strategy, and cross-functional collaboration, with a strong emphasis on integrating AI/ML technologies like Microsoft Copilot and AI agents into enterprise content management and compliance workflows. | Ship | 7 |
| Principal Software Engineer - Finance Data & Experiences Principal Software Engineer at Microsoft focused on AI within the Finance Data & Experiences organization. The role involves leading architecture for complex AI-driven products, improving AI tools and practices in the SDLC, mentoring engineers, driving integration, ensuring security and compliance, and innovating automation for zero-touch deployments. The goal is to leverage AI for business excellence and customer satisfaction, with an emphasis on Responsible AI practices. | Ship | 7 |
| Senior Security Researcher Senior Security Researcher role focused on threat hunting within Microsoft Defender Experts. The role involves exploring large datasets to detect advanced attack techniques, generating custom alerts, collaborating with data science and threat research teams, and building hunting tools and automations. Requires a strong background in cybersecurity, data analysis, and potentially machine learning, with a focus on enterprise security and threat intelligence. | Eval Gate | 7 |
| Senior Software Engineer - Performance Senior Software Engineer focused on optimizing the inference performance of large language models (LLMs) like those from OpenAI, running on various hardware including GPUs and custom Microsoft silicon. The role involves benchmarking, debugging, and optimizing performance to enable efficient deployment at scale for major Microsoft products and Azure services. | Serve | 7 |
| Senior Consultant - (AI , Full stack development ) Senior Consultant role focused on designing, developing, and delivering end-to-end, AI-powered, cloud-native applications for enterprise customers. The role requires strong full-stack engineering expertise combined with applied AI capabilities, particularly in LLM and agentic AI solutions, RAG patterns, and Responsible AI principles, with a focus on customer value and technical leadership. | Agent | 7 |
| Dynamics 365 Sales & Service Solution Engineer Pre-sales Solution Engineer for Dynamics 365 Sales & Service, focusing on AI agent capabilities and customer experience transformation. Responsibilities include leading technical engagements, demonstrations, PoCs, and collaborating with sales and partners to propose Microsoft's AI solutions, particularly Dynamics 365 and Copilot Studio, to enterprise clients. The role involves understanding business challenges and showcasing how AI can solve them, while also providing feedback to product teams. | Agent | 7 |
| Principal Software Engineer The AI Engineer will help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering, based on Apache Spark. This includes implementing agentic workflows and scalable LLM-backed data features like AI Functions integration, notebook copilots, and evaluation/telemetry. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role focused on building AI-powered, full-stack cybersecurity capabilities for enterprise customers. The role involves designing and implementing scalable cloud services, LLM-based agentic workflows, and integrating AI for threat detection and response. | Agent | 7 |
| Cloud Solution Architecture, Data & AI - Melbourne Senior technical leader responsible for shaping enterprise customer modernization of data estates and unlocking production-scale AI transformation. Guides design and adoption of AI-ready data platforms for Generative AI, Copilot, and agent-based solutions, working at the intersection of data, AI, and cloud platforms to drive end-to-end transformation from foundational data architecture to production AI outcomes at scale. Acts as a thought partner and strategic advisor, influencing customer roadmaps, platform decisions, and Microsoft solution plays. | ShipAgent | 7 |
| Software Engineer II Software Engineer II role focused on building AI-powered, full-stack capabilities for cybersecurity threat detection and investigation using LLMs, agentic workflows, and cloud services on Azure. The role involves designing, implementing, and operating backend services and APIs, owning features end-to-end, and collaborating with cross-functional teams. Emphasis on Responsible AI and leveraging AI tooling for development efficiency. | AgentServe | 7 |
