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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Senior Research Software Engineer on the Agentic Experiences team at Microsoft Research. The role involves designing and building software using AI tools and agentic workflows across the SDLC, from prototypes to scalable products. Responsibilities include coding, design, engineering excellence, cross-project collaboration, and technical leadership, with a focus on AI-native development and agentic experiences.

Principal Research Software Engineer to provide technical leadership and direct technical contribution on the AI Agentic Core Team. The mission is to accelerate the path from research to product by building AI-driven systems, workflows, and platforms that help researchers and product teams move faster from exploration to real-world impact. This role involves collaborating with engineers, researchers, and product teams to build high-impact systems spanning early-stage prototypes through production-ready tools, services, and experiences, while modernizing how software is designed, built, evaluated, and shipped. The role requires designing, developing, and shipping systems that transition MSR concepts into production-quality tools, services, and product capabilities, owning the end-to-end engineering lifecycle. It also involves defining and implementing AI-driven processes that accelerate research-to-product pipelines using LLMs, agentic workflows, and modern developer tooling, including designing and integrating agentic AI frameworks and LLM-based pipelines, developing tool-use and function-calling architectures, and applying prompt design, RAG, and evaluation frameworks. Contributions to model experimentation and fine-tuning are also part of the role.

The role focuses on designing and optimizing AI Agents and their orchestration layers for Copilot and other AI-powered experiences. It involves building robust systems for multi-model/multi-service workflows, pushing inference performance for low-latency execution, and enabling agents to securely and efficiently call APIs and services. The ideal candidate has backend or ML systems expertise at the intersection of product and inference, building scalable and reliable AI platforms.

Applied Scientist role focused on building advanced Copilot features like Deep Research and Web artifact generation. Responsibilities include architecting and implementing LLM-powered systems, leading evaluation efforts, designing data pipelines for prompt engineering and fine-tuning, and training content classifiers. Requires experience with LLMs, production-quality Python code, and a Bachelor's degree with related experience.

This role focuses on building and improving AI agent platforms, specifically the Agent Performance team within Azure AI Platform. The core responsibility is to integrate scientific advancements, particularly RL techniques like RLHF, into production-ready features for AI agents. The role involves monitoring, evaluating, optimizing, and enabling self-improvement of these agents, bridging the gap between research and product.

This role involves partnering directly with customers to translate real-world problems into production-grade AI solutions using cutting-edge AI innovation. The Forward Deployed Engineer will design, develop, and deploy sophisticated AI-powered systems at scale, engineer data pipelines, build custom applications, and deploy scalable workflows. The role also involves monitoring, refining, and driving adoption of built solutions, and sharing field insights to influence AI platform direction. Requires a strong balance of AI understanding and practical software engineering experience, with a focus on generative AI and ML/LLM-based solutions in production.

Senior/Principal Software Engineer role focused on building and improving intelligent systems, specifically agents and evaluation frameworks, within the Microsoft Security organization. The role involves leading complex technical problem-solving, partnering with customers, translating customer needs into scalable product capabilities, and driving experimentation and learning loops for product improvement. Emphasis on end-to-end ownership, engineering standards, and mentorship.

Senior Data Scientist role focused on applying machine learning and AI agents to sales compensation and incentive plans. The role involves designing, developing, and implementing ML solutions, building data pipelines, and leveraging Microsoft's AI/ML stack to drive insights and improve sales operations. The position requires strong business acumen in sales compensation and the ability to translate business context into analytical frameworks.

Senior Software Engineer to join the Microsoft Discovery team, working on an AI-driven platform that transforms the scientific research process using AI agents and high-performance computing. The role involves designing and building scalable, distributed systems, driving features from ideation to rollout, mentoring engineers, and improving engineering velocity with AI-enabled enhancements. Collaboration with Microsoft Research and platform teams is key, along with applying site-reliability engineering practices.

Solution Architect role focused on designing and deploying solutions leveraging Microsoft technologies, particularly Copilot and Agentic solutions. The role involves gathering client requirements, architecting solutions, building technical capabilities, and supporting pre-sales and implementation. It emphasizes deep product knowledge in Business Applications, Modern Work, Copilot, and Agentic solutions, with a focus on AI applications.

This role focuses on developing user-facing Generative AI features and building AI agent platforms, requiring a blend of AI knowledge and software development expertise to deliver scalable, high-quality solutions for enterprise clients.

Software Engineer II role focused on building and maintaining enterprise AI agent systems for security customers. This involves designing, developing, and integrating AI agents with enterprise platforms, ensuring data privacy, compliance, and responsible AI practices, and supporting agent operations in production.

Senior Solution Architect for Microsoft Industry Solutions Delivery (ISD) Canada, focusing on architecting and delivering AI-powered enterprise solutions using emerging Microsoft platform capabilities. The role involves leading technical teams, driving AI-first delivery practices, and ensuring engineering-grade rigor in solution design and implementation at enterprise scale.

Software Engineer II 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 features, and robust data pipelines, with a strong emphasis on AI engineering, evaluation, and operationalization of LLM systems.

Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, LLM-backed data features, and operationalizing AI/ML features, with a focus on full-stack development including React-based UX and backend services in .NET/Python.

Software Engineer II to build key features across the Copilot stack in Bing, spanning backend services, LLM prompting, and cross-surface UI experiences. The role involves creating AI-powered experiences for real-world decision-making, integrating Search, Maps, and Copilot.

Senior Software Engineer role focused on building and integrating cutting-edge AI into Microsoft products and services within the Copilot, Agents, and Platform (CAP) group. The role involves applied research, ML engineering, and product innovation, with a focus on shipping reliable, production-grade AI systems from model development to deployment. Responsibilities include backend system design, end-to-end ownership, data and platform infrastructure, performance optimization, and cross-functional collaboration.

The Principal Software Engineering Manager will lead a team of 7-10 engineers responsible for the Windows Search Platform, evolving it into an AI-native infrastructure layer. This includes enabling Copilot, LLM integrations, and agentic discovery patterns, as well as developing the Windows AI Platform for developers. The role involves owning technical direction, driving cross-functional partnerships, establishing release discipline and observability, and mentoring the engineering team. Experience with AI/ML integration in systems software, LLM consumption, and embedding-based retrieval is preferred.

Principal Software Engineer role focused on building high-impact AI solutions, specifically agentic AI at scale, for strategic customers on the Azure platform. This involves developing complex systems from ideation to production, identifying and building reusable solution patterns, and staying current with the latest advancements in agentic AI.

Senior Cloud Solution Architect for Azure AI platform, focused on enabling customers to achieve outcomes with Microsoft technology. This role involves accelerating customer adoption by building Generative AI solutions, resolving blockers for AI Factory projects, and providing technical feedback to Engineering. The architect will lead technical conversations, design AI solutions aligned with business needs, and drive consumption growth.

Senior Software Engineer role focused on building and architecting an agentic bidding platform for digital advertising, leveraging AI, machine learning, and large-scale distributed systems to optimize bids in real-time auctions. The role involves developing AI agents that monitor, reason, and adapt autonomously, optimizing advertiser ROI and driving significant revenue.

Senior/Principal Software Engineer to build a coding agent CLI and core agent loop for terminal experiences across GitHub and Microsoft. Focus on turning AI systems into reliable developer tools, with strengths in agentic systems, tool design, evaluation, and high-performance terminal UIs.

Principal Software Engineer role focused on the security and privacy backbone of Microsoft's Intelligent Conversation and Communications Cloud (IC3). The role involves setting technical strategy and architecture for AI-driven, agentic security tooling, including vulnerability detection, posture assessment, and remediation. It also requires defining and enforcing quality gates, exercising compliance judgment across various standards (SOC 2, HIPAA, FedRAMP, etc.), and driving partner alignment. The position emphasizes applying AI/ML pragmatically to reduce false positives and improve remediation throughput, establishing evaluation and safety patterns, and leading incident response.

This role involves using AI, specifically building agents and pipelines, to enhance threat intelligence analysis and delivery for Microsoft Security customers. The focus is on understanding the threat landscape, tracking threat actors, and translating findings into actionable intelligence at machine speed.

This role leads the AI Foundry Agents Platform, focusing on enabling developers to build and deploy complex agents with multi-agent orchestration, tool use, and production deployment capabilities at enterprise scale. The role involves managing and coaching engineers, driving strategic clarity, fostering engineering alignment, delivering end-to-end experiences, building foundational capabilities, championing customer-centric development, and ensuring live site excellence for large-scale distributed systems.

Microsoft Robotics is building a platform for physical intelligence, an integrated robotics software and AI platform that enables humans, robots, and AI agents to collaborate. This role focuses on designing and building core infrastructure components like SDKs, cloud services, edge runtimes, and agent orchestration layers. The position involves architecting platform extensibility, building production-grade data infrastructure for the robotics lifecycle, owning cross-cutting concerns like security and performance, and driving the developer experience. Collaboration with autonomy, simulation, and evaluation teams is key to meeting ML training and evaluation requirements.

This role focuses on developing and integrating perception, localization, mapping, and navigation capabilities for robotic platforms within Microsoft's physical intelligence platform. It involves designing and implementing production-quality autonomy systems that combine multi-sensor perception, SLAM, state estimation, and navigation planning, with an emphasis on turning research into robust, scalable systems for real-world deployment across diverse robots and environments.

Develops and deploys navigation and planning systems for robots, enabling them to move safely and efficiently in real-world environments. This role involves working across the autonomy stack, integrating classical robotics with modern AI systems, and building robust software for diverse robot embodiments and operating conditions.

This role focuses on designing the human-robot-AI interaction and interfaces for Microsoft's robotics platform, enabling collaboration between people, robots, and AI agents. It involves creating interaction paradigms for natural language commands, AR overlays, gesture input, and trust calibration mechanisms, aiming to establish Microsoft's design language for physical AI experiences.

This role focuses on increasing the productivity, scale, and depth of NPI Program Managers through data systems, automation, and applied AI. The Senior Program Manager will define the vision and lead the build-out of tools, structured data sources, and agentic AI solutions to help PMs run programs with better risk foresight and pattern recognition. The core responsibility is to improve the leverage and effectiveness of the PM function through AI and data systems.

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.

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.