Principal Software Engineer role at Microsoft AI's Copilot Discover Engineering Team, focusing on the technical direction and long-range architecture of Copilot Discover. The role involves designing and driving systems for AI-forward discovery experiences, including content ingestion, enrichment, ranking, personalization, and serving across multiple surfaces. It emphasizes end-to-end responsibility, influencing platform direction, and ensuring system robustness, scalability, and privacy. The position requires shaping the adoption of AI/ML techniques and serving as a cross-organizational technical leader.

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.

Principal Software Engineer to lead end-to-end software development lifecycle for AI-infused applications, Agentic Solutions, and Copilots within Microsoft's Commercial Sales Experiences (CSX) organization. The role involves architecture, design, development, testing, and deployment, focusing on enhancing user experience and productivity with AI.

Principal Software Engineer to design and build a Postgres-based database for modern, AI-native, agent-driven workloads within Microsoft Fabric. The role involves innovating on query planning, execution, and storage layers to support high-performance data access for next-generation applications, leveraging open storage formats and engines.

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 is for a Platform Engineering Manager at Microsoft, focusing on building and scaling the AI platform services that power Copilot, Microsoft's personal AI assistant. The role involves managing a team to develop APIs for finetuning, deployment, and core Copilot experiences, collaborating with AI researchers and product teams to bring AI products to life. The focus is on high-performance, secure, and scalable backend systems for consumer-facing AI products.

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.

Principal Machine Learning Engineer to work on data labeling and classification for large-scale multimodal Copilot data within Microsoft AI. The role involves prototyping and productionizing classification flows, operating prompted classifiers, and building secure data-labeling pipelines. Requires experience in data pipelines, data science, ML, and strong communication skills.

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.

Microsoft AI is seeking an experienced Data Engineer to build mission-critical data pipelines for their Copilot systems. The role involves ingesting, processing, and publishing data streams to support AI model fine-tuning and introspection. The ideal candidate will have strong big data processing skills and experience with cloud infrastructure.

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.

Principal Software Engineer role focused on building high-performance software for AI capabilities across Windows & Devices. The role involves architecting and building code for deploying ML models at scale, optimizing edge execution, and guiding system-level decisions for inference, memory, power, and security. It requires defining ML infrastructure strategy and has preferred experience in architecting ML inference pipelines for LLMs, local model integrations, and hardware-aware optimizations.

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.

Full Stack Engineer on the MAI Superintelligence Team focused on ML Efficiency & Observability, building capacity management portals and visibility into model performance for ML researchers and executives. The role involves designing and developing features for user interfaces, integrating with backend APIs for training frameworks, and contributing to internal tooling and infrastructure.

This role focuses on the network architecture for AI accelerator platforms, specifically for high bandwidth and low latency networks critical for AI GPU clusters. The Principal AI Network Architect will evaluate, design, and optimize the network stack from hardware to software kernels, influencing Azure product roadmaps and working with state-of-the-art networking labs. The role requires deep expertise in networking technologies and familiarity with AI model execution pipelines.

Seeking an experienced engineering leader to build, scale, and run a high-performing engineering organization responsible for Copilot AI Evaluation. This role involves setting technical and organizational strategy for LLM evaluation, partnering with senior leadership, and owning the delivery of evaluation platforms and novel techniques to measure and improve Copilot quality at scale.

The role focuses on developing and improving machine learning models for Bing's multimedia search relevance, aiming to deliver the best image and video content to users. This involves working with computer vision, NLP, deep learning, and information retrieval to enhance ranking, understand queries, and process big data.

This role is for a Principal Software Engineering Manager within Microsoft's AI Platform organization, specifically on the AI Foundry OSS Model Customization Team. The team focuses on enabling data scientists and developers to build, train, deploy, and manage machine learning models, with a specialization in customizing open-source models. The manager will lead and develop a team of engineers, focusing on scalable services, customer needs, and career development, while collaborating with external partners and internal Microsoft teams. A strong background in Generative AI, ML, deep learning, NLP, transformer models, and cloud platforms is required.

Principal Software Engineering Manager to lead a team focused on improving the efficiency, scalability, reliability, and cost of the core infrastructure powering Microsoft 365 Copilot experiences. The role involves acting as a coach, guiding technical design, driving performance optimizations in collaboration with research teams, and ensuring the health and availability of live services.

Principal Software Engineer to advance ad-serving infrastructure, focusing on performance, efficiency, and scalability of next-gen model serving and inference platforms for Ads. Designs and optimizes high-performance serving systems and GPU inference frameworks for deep learning and LLM workloads.

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.

The Data & Applied Sciences team for Microsoft Teams is seeking a Senior Applied Scientist to leverage ML/AI for decision-making and product performance enhancement, with a focus on Recommendation Engine solutions. Responsibilities include building models, featurization pipelines, measuring impact, running experiments, prototyping new algorithms, and working on end-to-end solutions including data pipelines and deployments.

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.

Lead and grow a team building and operating world-class research compute infrastructure, including large-scale GPU clusters and agentic development tools, for Microsoft Research globally.

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 Software Engineer role focused on building and scaling the AI data-plane for LLM inferencing across Microsoft and Azure. The role involves designing, coding, and shipping core serving systems, smart routing, and request distribution for a wide range of LLMs, aiming for reliability, efficiency, and ultra-low latency.

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.

Principal Data Scientist role focused on applying advanced analytics and data science to solve complex business problems for Microsoft's strategic customers. The role involves shaping data science strategy, defining reusable patterns, and leading technical direction across engagements, with a strong emphasis on business understanding, data preparation, modeling, and evaluation in a customer-facing consulting and engineering context.

This role is for a Platform Engineering Manager at Microsoft AI, focusing on building and scaling the AI platform services that power Copilot. The role involves managing a team to develop secure, performant APIs for finetuning and deploying core AI experiences, collaborating with various teams, and ensuring high-quality code delivery in a fast-paced consumer-facing environment.

This role is for a Data Engineering Manager within Microsoft AI's Copilot team. The primary responsibility is to build and manage scalable data pipelines that ingest, process, and publish data streams for AI use cases, specifically for fine-tuning models and improving human-AI interactions. The role involves managing a team of data engineers and ensuring operational excellence for the data platform.

This role focuses on building and operating the foundational GPU accelerated infrastructure for large-scale AI training and inference across Azure. It involves designing systems for GPU management, scheduling, isolation, and sharing, as well as optimizing performance, reliability, and utilization of GPU fleets. The role also requires driving end-to-end platform features, including observability and diagnostics, and influencing platform architecture.

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.

Lead a team of engineers to build and manage LLM evaluation solutions for Microsoft Copilot, focusing on quality, reliability, and scalability. This role involves designing evaluation platforms and techniques to measure and improve the performance of AI companions.

Senior Software Engineer to join the Evaluation platform team within Core AI, focusing on building core services for large-scale agent observability and optimizing AI agent performance.

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.

Engineering Manager for Microsoft AI's Copilot product, focusing on full-stack development, team leadership, and shipping AI-powered experiences. The role involves hands-on coding, architectural guidance, and working across data sampling, collection, processing, analysis, and insights stages of the evaluation platform. Prompt engineering and extensive use of AI tools are also key aspects.

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.

Firmware Engineer role focused on designing, developing, and debugging firmware for Azure's custom AI accelerator silicon. This involves working across silicon, hardware, and software teams to enable advanced AI workloads and support data center deployment.

The Principal Applied Scientist will work on Microsoft's Experimentation Platform (ExP) within CoreAI, focusing on enabling high-scale online experimentation for AI-driven applications. This role involves advancing experimentation methodology and agent evaluations, collaborating with various engineering and science teams, and translating applied research into production features for a large-scale platform. The goal is to accelerate product learning and drive progress across Microsoft's AI ecosystem by providing robust experimentation capabilities.

This role focuses on building cross-cutting capabilities for Microsoft Copilot, aiming to create revolutionary AI-powered experiences across modalities (text, voice, vision, action). The engineer will own features end-to-end, collaborate with applied AI researchers, and ship experiments rapidly to millions of users, defining the future of human-AI interaction.

Senior Data Scientist role focused on end-to-end delivery of strategic data science and AI solutions for enterprise clients. Responsibilities include understanding business needs, preparing data, building and deploying predictive and generative AI models, integrating AI applications, and communicating findings to stakeholders. The role emphasizes prompt engineering, fine-tuning, and evaluation strategies for LLMs and foundation models, with a strong focus on responsible AI principles and business impact.

Principal Software Engineer focused on building and integrating Responsible AI services, ensuring high availability, scalability, and low latency for customer-facing AI applications within Microsoft's CoreAI organization. This role involves end-to-end ownership of the development lifecycle, evaluating architectures, and upholding software engineering best practices.

The role is for a Site Reliability Engineer (SRE) focused on High Performance Computing (HPC) infrastructure for AI model training and inference. The engineer will ensure the reliability, availability, and efficiency of large-scale distributed AI systems, including GPU clusters, and will be involved in monitoring, automation, incident management, and security.