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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Senior Software Engineer for Microsoft Copilot Experiences team, focusing on building reliable, performant, and intelligent user experiences for Copilot. The role involves frontend systems, distributed services, and telemetry, with responsibilities spanning client, service, and data layers, including improving reliability and latency of Copilot interactions. It also includes building telemetry pipelines, designing session-level event models, and architecting large-scale, low-latency systems. Experience with AI/agent-based systems in production, observability, evaluation, and conversational interfaces is preferred.

Senior Software Engineer role focused on building the foundational cloud-native, distributed platform for developing, executing, and managing agentic AI applications at scale. The role involves defining the future of software development, shaping developer interaction with the platform, and integrating multi-modal AI capabilities into agentic applications.

Senior Data Scientist role focused on consumer marketing personalization and decision science. Responsibilities include defining technical strategy for causal modeling and experimentation, architecting production-grade personalization models, leading ML efforts from framing to deployment, and guiding LLM engineering direction. The role emphasizes collaboration, technical leadership, and driving measurable business outcomes.

Principal Software Engineer on the Copilot Studio Knowledge team, focusing on improving the accuracy, performance, and scalability of Copilot Studio's generative AI capabilities. The role involves defining architecture, building features, mentoring engineers, and engaging with customers to resolve issues and drive product improvements.

This role focuses on driving AI transformation for enterprise customers by leading technical engagements, designing secure and scalable architectures for Microsoft 365 Copilot, Copilot Studio & Agents, and related AI solutions. The Solution Engineer acts as a trusted advisor, guiding customers through secure, compliant, and value-driven implementations, and collaborating with sales, customer success, and engineering teams to accelerate adoption.

Software Engineer II to build and operate AI Agents as Service for cloud operations, focusing on agent capabilities, orchestration, evaluation, safety, and reliability in production environments.

Senior Software Engineer to build and operate AI Agents as Service for cloud operations, focusing on agent capabilities, orchestration, evaluation, safety, and reliability in production environments.

This role focuses on designing, building, and implementing AI-powered solutions using Microsoft's ecosystem, including Dynamics 365, Copilot, Copilot Studio, and Power Platform. The consultant will act as a trusted advisor to enterprise customers, leading engagements and delivering end-to-end solutions that involve custom AI agents, orchestration, and integration with business processes. The role requires hands-on development, extending Copilot and Power Platform with custom APIs and Azure components, and delivering low-code/no-code solutions with enterprise-grade security.

Principal Software Engineer on the Windows team, focusing on creating personalized consumer experiences across Xbox, M365, and devices. The role involves leading teams, driving AI adoption, building ML models, and leveraging LLM usage patterns and agentic frameworks for personalization and service health.

Senior Software Engineer to drive the development of next-generation systems for Microsoft Start, focusing on backend services, LLM applications, evaluation frameworks, and prompt engineering to create intelligent user experiences.

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.

Principal Software Engineer to drive the architectural transformation of Conditional Access into a universal policy engine for users, workloads, and AI agents. This role will own the technical vision for scaling Conditional Access to meet the next generation of identity, including autonomous agents, continuous authorization, data-plane enforcement, and policy portability. The role involves defining architecture, owning technical strategy for the evaluation engine, designing next-generation policy models, leading CA-for-Agents vision, architecting agent identity evaluation, driving cross-org technical alignment, and influencing roadmaps for agent governance. It also includes setting standards for safe rollout, driving testability, and mentoring engineers.

Principal Software Engineer role focused on defining and leading the technical direction for next-generation intelligent, large-scale content platforms. The role involves shaping multi-year technical strategy, driving architectural coherence, and building foundational platforms for multiple product surfaces. Responsibilities include designing distributed backend systems, cloud-native infrastructure, and data platforms at global scale, with a focus on availability, latency, security, and cost efficiency. A key aspect is guiding the integration of LLM-powered capabilities into production systems, defining patterns for retrieval, orchestration, evaluation, and responsible AI, ensuring these are deeply embedded, reliable, and scalable. The role requires exceptional technical judgment, operating in ambiguous spaces, and influencing across teams and organizations, working closely with engineering leaders, product leaders, and applied scientists.

This role is for a Sr. Cloud Solution Architect focused on the Azure AI platform within Microsoft's Customer Experience & Success (CE&S) organization. The primary responsibility is to enable customers to achieve business outcomes by leveraging Microsoft's AI and ML technologies, specifically by building Generative AI solutions and resolving customer blockers within the 'AI Factory'. The role involves technical leadership, driving customer adoption, providing feedback to engineering, and increasing technical expertise within the field teams. It emphasizes a hands-on approach to designing, building, and troubleshooting AI solutions for customers.

Senior and Principal Software Engineers are needed to build AI-driven security product experiences for Microsoft Threat Protection. This role involves designing and developing full-stack solutions that integrate large language models, multimodal models, and frontier AI capabilities into user-facing applications for threat detection, triage, investigation, and incident response. The focus is on creating AI-native workflows and intuitive interfaces that reduce defender toil and enable new security capabilities.

Software Engineer II role on the Foundry Agent Platform team at Microsoft, focusing on building foundational AI capabilities for Azure customers. This includes agent distribution, data layers, discovery/search features, billing, and authoring agents. The role involves designing, building, and operating production software, applying AI-assisted techniques, and working with distributed systems and cloud services.

Consultant role focused on designing, developing, and implementing Agentic AI solutions using Microsoft's Dynamics365 and Power Platform for US federal government clients. Requires a Top Secret security clearance and proficiency in generative AI, LLMs, and Agentic Frameworks.

Senior Software Engineer on the Smart Building & Workplace team responsible for designing, building, and shipping agentic employee experiences and full-stack platform features. The role involves working with Angular front-ends, .NET APIs, Azure Container Apps, and M365 Copilot extensibility to build intelligent agents that surface real-time building data, campus services, and personalized workplace insights through natural language. The role emphasizes shipping AI-powered products at enterprise scale and developing expertise in agentic AI and M365 Copilot extensibility.

Principal Full Stack Software Engineer (UI Focused) for Microsoft Foundry Agents Platform team, building agent-building experiences and tools for developers and enterprises using LLMs and GenAI on Azure.

This role involves building AI-driven analytics for Microsoft's Copilot product, focusing on trend detection, cohort analysis, and drill-down workflows using large-scale multimodal data. The engineer will design and implement ML models and scalable data pipelines, ensuring compliance and security, and integrating insights into dashboards and APIs.

Machine Learning Engineer to build AI Insights, a Copilot analytics product. This role involves designing and implementing AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations using large-scale multimodal Copilot data. Responsibilities include building data pipelines, implementing ML models, developing secure workflows, and enabling drill-down capabilities linking quantitative metrics to qualitative evidence.

Machine Learning Engineering Manager to lead the development of AI Insights, a next-generation Copilot analytics product, focusing on AI-powered analytics for Copilot usage and quality metrics, trend detection, anomaly detection, and predictive insights. The role involves prototyping and productionizing ML models, ensuring data compliance, and integrating with existing platforms.

Data Scientist II at Microsoft Security's Identity Threat Detection and Response (ITDR) team, focusing on building AI/ML algorithms for detecting sophisticated cloud-based attacks, anomalies, compromises, and cyber-attacks using Gen AI and graph-based systems. The role involves extensive data analysis, feature engineering with PySpark, and collaboration with researchers and product teams.

This role is for a Principal Software Engineering Manager at Microsoft's Core AI division, specifically on the Agentic Core Services Team. The team builds the cloud-native, distributed platform for developing, executing, and managing agentic applications at scale. The role involves leading and developing a team of engineers, driving strategic clarity, fostering engineering alignment, delivering cohesive end-to-end experiences, building foundational capabilities, championing customer-centric development, and leading live site excellence for large-scale distributed systems. The focus is on enabling developers to build intelligent, autonomous, and enterprise-grade AI agents, integrating multi-modal capabilities into agentic applications.

This role focuses on building the cloud-native, distributed platform for developing, executing, and managing agentic AI applications at scale. It involves defining the future of software development by shaping how developers interact with the platform, including programming models, user experiences, and a managed runtime for orchestrating agent-based AI applications with enterprise-grade guarantees. The role will collaborate with AI research teams and integrate multi-modal capabilities into agentic applications.

Develop and refine advanced simulation methods for quantum computing, with a focus on building AI agents/copilots to assist with various aspects of experiment setup, log triage, measurement reporting, protocol templating, and knowledge retrieval. The role aims to use AI to accelerate the development of quantum computers.

This Principal Software Engineer role focuses on defining and driving the architectural direction for Windows Search and related semantic systems, including indexing, retrieval, ranking, and AI-powered experiences. The role involves leading cross-team technical efforts, ensuring system reliability and quality, and anticipating future needs for agentic and AI-driven Search.

Cloud Solution Architect focused on AI solutions, primarily Microsoft 365 Copilot, Copilot Studio, and Copilot Chat, to drive customer AI transformation. The role involves understanding business requirements, designing and implementing AI agent solutions, providing technical support, and maximizing business value and ROI for enterprise clients.

Senior Consultant role focused on designing, developing, and deploying AI-powered full-stack applications on Microsoft Azure. Requires strong full-stack engineering skills combined with applied AI capabilities, particularly in LLM and agentic AI solutions using frameworks like Semantic Kernel, LangChain, and RAG patterns. The role involves technical leadership, customer engagements, and ensuring solutions are scalable, secure, and aligned with business objectives and Responsible AI principles.

This Principal Software Engineer role on the Microsoft Playwright team focuses on integrating AI-native and agentic capabilities into test automation. The engineer will design and implement systems enabling autonomous agents to reason about, generate, and validate software behavior, advancing Playwright's runtime, infrastructure, and tooling. The role emphasizes AI-assisted development and intelligent automation within the modern developer workflow.

This Director role focuses on leveraging AI and AI-enabled tools to accelerate technical due diligence, product integration, and decision-making for Microsoft's strategic deals (acquisitions, divestitures, data/IP transactions). The role involves leading cross-functional teams, assessing technical risks (including AI/ML, security, privacy, compliance), developing integration plans, and driving innovation in AI-first workflows to improve efficiency and decision quality in a rapidly evolving AI market.

Senior Security Engineer focused on identity security, translating threats into AI-first engineering requirements, analyzing advanced attacks using large-scale telemetry, designing detections, and building automation for investigation and response within Microsoft Security's Identity Security Breach Response Squad.

Senior Software Engineer role on the Microsoft Teams AI Platform team, focusing on building and operating high-scale backend services that enable AI agents to work seamlessly across Teams. The role involves designing and developing foundational infrastructure, collaborating with AI teams, and ensuring high standards of availability, reliability, and performance for features impacting millions of users.

Seeking a Senior AI Development Consultant to lead AI/agent development for enterprise clients using Microsoft Copilot, Copilot Studio, and Azure AI. Responsibilities include architectural design, technical implementation, custom agent development, data and AI foundation building with Microsoft Fabric, and RAG architecture implementation. The role involves end-to-end project delivery and technical support for client workstyle transformation.

Senior Software Engineer on the Path team, focused on modernizing work management with AI by pioneering LLMs and advanced Agentic frameworks. The role involves using AI agents to automate tasks and create intelligent assistants to streamline workflows.

Solution Engineer focused on helping enterprise customers adopt and integrate Microsoft's Cloud & AI Applications, including AI Foundry and Azure AI. The role involves driving technical sales, leading hands-on engagements (PoCs, hackathons), co-designing secure and scalable AI architectures, and resolving technical blockers. Expertise in Agentic AI frameworks, Responsible AI, and cloud-native development is required to accelerate AI application development and deployment.