Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
Microsoft has 521 active AI-related job listings. The majority of these roles are focused on agents, representing 37% of the total, followed by application and serving infrastructure. Engineering is the most frequent function, with a significant number of openings, and the United States is the primary hiring country. Frequent tech tags include agent orchestration, model serving, and LLM observability, suggesting a focus on operationalizing AI models. Over the last 30 days, Microsoft has added 280 new AI roles, a 157% increase compared to the previous 30-day period.
Microsoft currently has 343 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (19), Senior Software Engineer (19), Software Engineer II (8), Principal Applied Scientist (7), Principal Data Scientist (4). Most positions are in Engineering and Research.
Microsoft's active AI hiring is concentrated in: agents (36%), application (21%), serving infrastructure (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Microsoft is hiring AI talent in: United States (308 roles), Canada (15 roles), Japan (8 roles), United Kingdom (7 roles).
Job postings at Microsoft most frequently mention: Computer Architecture, Python, Machine Learning, C#, C++.
In the past 30 days, Microsoft has posted 227 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer Senior Software Engineer role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, scalable LLM-backed data features, and AI-assisted experiences to help data engineers. Responsibilities include end-to-end ownership of features, building frontend UX, developing full-stack capabilities, and contributing to AI-powered developer productivity tools within notebooks and data engineering environments. The role also involves operating and maintaining the built systems. | AgentData | 7 |
| AI Software Engineer AI Software Engineer role focused on building AI-powered testing capabilities for Visual Studio and .NET CLI. The role involves designing and implementing intelligent agents for test case suggestion, code analysis, and test maintenance, as well as developing benchmarking frameworks to evaluate AI models for coding tasks. The technology stack includes C# and Azure, leveraging LLMs. |
| Agent |
| 7 |
| Senior Consultant, Apps & AI Senior Consultant for Microsoft's Industry Solutions team, focusing on delivering AI-enabled applications and cloud solutions on Azure for enterprise customers. Responsibilities include client-facing consulting, designing and building full-stack applications, architecting cloud-native solutions, implementing DevOps, and leading the end-to-end delivery lifecycle. The role emphasizes AI-enabled development using Azure OpenAI, Azure AI Services, custom ML models, agentic AI systems, and RAG architectures, alongside cloud-native architecture and DevOps practices. | AgentServe | 7 |
| Software Engineer 2 Software Engineer role focused on designing and building AI-native systems and agentic workflows to transform Microsoft's commercial sales ecosystem. The role involves understanding business processes, prototyping, shipping scalable features, integrating systems, and ensuring responsible AI development. | Agent | 7 |
| Software Engineer II Software Engineer II role focused on building and deploying AI-powered solutions for enterprise customers, translating real-world problems into production-grade AI systems. Responsibilities include engineering data pipelines, building custom applications, deploying scalable workflows, and monitoring/refining deployed solutions. Requires practical experience with AI/LLMs and leveraging generative AI. | Agent | 7 |
| Service Engineer Service Engineer role focused on building and managing end-to-end solutions for Microsoft Cloud operations, including AI-powered agents, LLM-powered workflows, and automation for incident triage and operational intelligence. The role involves data pipelines, integrating incident management systems, and collaborating with various teams to translate business requirements into technical solutions. | Agent | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing AI and cloud-based solutions for enterprise customers, involving data acquisition, model development, evaluation, and deployment within a cross-functional team. | Ship | 7 |
| Senior Data Scientist - Industry Solutions Engineering Senior Data Scientist role focused on co-engineering AI-powered, cloud-based solutions with customers to solve complex business challenges. The role involves data acquisition, preparation, model development, evaluation, and deployment within a cross-functional team, contributing to reusable solution patterns. | Ship | 7 |
| Software Engineer II Software Engineer II role focused on evolving agentic AI capabilities within Microsoft's Power BI and Fabric products. The role involves crafting, fine-tuning, and maintaining AI solutions, including prompt engineering, skill integration, context engineering, and evaluations, to deliver AI-powered experiences that unlock data value for customers. | Agent | 7 |
| Principal Software Engineer Principal Software Engineer at Microsoft's Commercial Engineering & AI (CEAI) team, focusing on building and operating distributed services and integrating AI capabilities like NLP, semantic search, and intelligent agents using Azure OpenAI and Semantic Kernel. The role involves end-to-end ownership of features, driving architectural decisions, and ensuring performance, scalability, and cost efficiency. It also includes mentoring engineers and contributing to DevOps and live site reliability. | Agent | 7 |
| Threat Intelligence Manager Lead a team of Threat Intelligence Security Analysts to track criminal threat actors and transform intelligence into insights and protective outcomes. Build and operationalize a hybrid human + agentic intelligence team, applying AI technologies, automation, and workflow innovation. Partner across engineering, product, security research, detections, data science, and incident response teams to translate intelligence into protections, investigations, product improvements, and strategic decisions. | Agent | 7 |
| Principal Software Engineering Manager - Substrate Efficiency This role leads a team focused on optimizing the inference efficiency of the M365 Copilot platform, which operates at massive GPU scale. The goal is to maximize throughput per GPU, reduce cost per query, and improve runtime performance for large-scale AI experiences. | Serve | 7 |
| Principal Data Scientist Principal Data Scientist role focused on developing AI agents to automate and improve data analysis within the Microsoft Content organization, leveraging LLM skills and driving efficiency for non-data scientists. | Agent | 7 |
| Senior Software Engineer Senior Software Engineer role on the Power BI Core AI team at Microsoft. The role focuses on building AI-first capabilities to make enterprise data more accessible, governed, and useful for human users and AI agents. Responsibilities include AI-native development, writing secure and performant code for web clients and service-side components integrating with LLM-based agents, and driving product development and scaling. The role involves working across the full product stack to shape how AI transforms enterprise analytics at scale, including agentic AI experiences, benchmarking, and evals. | Agent | 7 |
| Software Engineer Software Engineer role focused on building AI-driven automation into HR platforms and engineering pipelines using LLMs and agentic AI. The role involves designing and implementing scalable solutions, developing CI/CD pipelines with AI capabilities, and leveraging AI technologies for workflow automation and productivity enhancement. | Agent | 7 |
| Senior Consultant, Apps & AI Senior Consultant focused on delivering AI-enabled applications and cloud solutions on Azure, including agentic AI systems and RAG architectures. Responsibilities span from pre-sales to end-to-end delivery, emphasizing scalable architectures, full-stack development, and DevOps practices. | AgentServe | 7 |
| Senior Data Scientist Senior Data Scientist role within Microsoft's Industry Solutions Engineering team, focusing on developing AI and cloud-based solutions for customers. The role involves data acquisition, preparation, model development, evaluation, and deployment at scale, with a strong emphasis on customer-facing project delivery and innovation. | Ship | 7 |
| Senior Data Engineer Senior Data Engineer responsible for designing, building, and operating software platforms that power Microsoft's business operations. This role involves working with AI tools across the SDLC, building datasets for LLMs and agents, and ensuring data quality, reliability, and security for AI-driven features. The engineer will also lead design discussions, write high-quality code, own testing strategies, manage cross-team dependencies, and participate in live site operations and mentorship. | DataAgent | 7 |
| Principal Group Software Engineering Manager Principal Group Software Engineering Manager to own GPU fleet health, capacity intake and planning, and automated model deployment for M365 Copilot inference. This role involves leading teams, growing the organization, and building a control plane for capacity management at massive GPU scale. | Serve | 7 |
| Senior Software Engineer Senior Software Engineer role at Microsoft Quantum focused on building scalable commercial quantum computer systems. The role involves designing, implementing, and integrating system software, developing novel algorithms for computationally hard problems, and working on Quantum Error Correction techniques. It requires collaboration with experimentalists and hardware designers, spanning software, firmware, and hardware subsystems. The position emphasizes passion for software development, cloud, AI, and quantum computing. | Data | 7 |
| Principal Software Engineering Manager, Windows Platform & Developer Team Engineering Manager to lead a team of 7-10 engineers shaping how agents and claws are built, run, and securely governed on the Windows platform. The role involves owning technical direction for new agentic capabilities, leading cross-functional partnerships, mentoring engineers, and recruiting talent. | Agent | 7 |
| Principal Data Scientist Principal Data Scientist role within the Industry Solutions Engineering (ISE) team, focusing on developing AI and cloud-based solutions for customers. This role involves data acquisition, model evaluation, developing operational models at scale, and collaborating with cross-functional teams and customers to solve complex business challenges. | Ship | 7 |
| AI-Powered Developer Productivity Architect - Digital Natives & ISVs (EMEA-HQ) This role focuses on architecting and implementing AI-powered developer platforms for digital native and startup companies, emphasizing agentic development workflows, multi-agent ecosystems, and autonomous coding agents to improve engineering productivity. The architect will guide teams in adopting these tools, integrating them with DevOps practices, and ensuring security and governance. | Agent | 7 |
| Applied Scientist Applied Scientist role focused on building GenAI and ML solutions for Azure customer experience, specifically in Security, Reliability, and Quality. The role involves driving AI projects from ideation to production, performing experiments, integrating models, and collaborating with cross-functional teams. Requires experience with AI Reasoning agents and LLMs/SLMs. | AgentPost-train | 7 |
| Senior Software Engineer Senior Software Engineer to design and deliver cloud-native services using Microsoft technologies, with a focus on integrating AI-powered capabilities like copilots, LLM integrations, and agent-based workflows. The role involves technical leadership, architectural decisions, and ensuring reliability and safety of AI features. | Agent | 7 |
| Principal Performance Architect The Principal Performance Architect will develop and test SoC and IP models, analyze performance and bottlenecks for deep learning workloads, and prototype optimizations for AI accelerators. This role focuses on the performance and power efficiency of hardware infrastructure for AI workloads. | Serve | 7 |
| Cloud Solution Architect - Copilot Cloud Solution Architect focused on enabling enterprise customers to realize business value through Microsoft 365 Copilot and Agentic AI solutions. The role involves supporting customers from experimentation to scaled adoption by designing and delivering solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry. | Agent | 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 |
| 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 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 |
| 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 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 |