Microsoft

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.

Principal Group PM Manager to lead a team of Product Managers and own a critical product area within Dynamics 365 Customer Experience AI, focusing on AI-powered Contact Center and Customer Service solutions. The role involves strategy, execution, people management, and cross-team influence for AI-first, agentic, and autonomous products.

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.

Product Manager for CoreAI at Microsoft, focusing on policy enforcement, compliance automation, and AI-driven engineering automation within Microsoft's internal engineering systems. The role involves driving product strategy for platforms that deliver organizational policy controls, event-driven governance workflows, and intelligent automation, with a specific emphasis on integrating multi-agent systems and agentic workflows into engineering platform capabilities.

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.

Senior Product Manager for the Windows Platform & Developer Experience team, focusing on shaping platform primitives, APIs, and tooling for intelligent, agent-driven experiences. The role involves defining product vision for user signals on Windows, driving strategy for capturing and surfacing user context to power Copilot and AI agents, and influencing on-device model usage on Copilot+ PCs. This includes managing the product lifecycle from definition to launch, driving cross-org adoption, and navigating the intersection of AI and the OS.

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 role focuses on defining and building the security foundation for AI systems, particularly agentic systems, within enterprise applications. The Principal Product Manager will lead product efforts to detect, prevent, and govern AI security risks, integrating these capabilities with Microsoft's broader security stack. The role is at the intersection of AI systems, cybersecurity, and enterprise cloud infrastructure, driving 0-to-1 product development for AI security.

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.

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.

Product Manager for Visual Studio Copilot, focusing on AI-powered developer experiences within the IDE. The role involves defining product strategy, roadmaps, and end-to-end workflows for chat, code completions, and agentic capabilities, requiring close collaboration with engineering, design, research, and data science teams. The goal is to enhance developer productivity while ensuring quality, control, and trust, with a strong emphasis on enterprise readiness and competitive differentiation.

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.

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.

Software Engineers (II and Senior) needed to lead engineering efforts for Teams Copilot, leveraging Generative AI, LLMs, and an AI stack to enhance collaboration and user experience. The role involves end-to-end ownership, prototyping, evaluating new AI features, and developing scalable, reliable services with a focus on live-site operations and data-driven decisions.

This role focuses on building cross-cutting capabilities for AI companions like Copilot, spanning multiple modalities (text, voice, vision, action). The engineer will own features end-to-end, collaborate with AI researchers, and ship experiments rapidly to create user experiences that redefine AI companionship. The role requires strong full-stack fundamentals and comfort with ambiguity in a fast-paced environment.

Engineering Lead to build and own the software engineering platform for large-scale machine learning retrieval systems, including RAG for Copilots, web-scale search, and personalized recommendations. The role focuses on translating retrieval research into reusable, scalable systems, defining engineering standards, and integrating new methods. It involves cross-team technical leadership and improving developer/researcher experience.

Senior/Principal Security Researcher on the Global Hunting, Oversight, and Strategic Triage (GHOST) team. The role involves performing threat hunts, assisting with investigations, developing threat intelligence, and cultivating investigation best practices into Microsoft tooling and products. Researchers will support a global team to identify and catalog new attacker TTPs, victims, and deliver customer notifications to protect worldwide enterprise customers and empower customers to protect themselves via constantly improving Microsoft products.

Software Engineer on the Path team at Microsoft, focusing on modernizing work management products (Project, Planner, To Do, Visio) with AI. The role involves pioneering LLMs and agentic frameworks to automate tasks and streamline workflows, contributing to the development of AI-powered productivity tools.

Senior Software Engineer to build GitHub's coding agent CLI and the core agent loop powering agentic experiences across GitHub and Microsoft. The role focuses on turning AI systems into reliable developer tools, with an emphasis on agentic systems, tool design, agent loops, benchmarking, quality optimization, and high-performance terminal experiences.

This role focuses on building large-scale Copilot memory and personalization systems using RAG, search, embeddings, retrieval, and ranking. The individual will be responsible for designing and implementing these systems, collaborating with stakeholders, and mentoring engineers. Experience with LLM applications and large-scale embedding/retrieval/ranking systems is required.

Software Engineer II role focused on designing and building AI-powered scheduling systems by integrating backend services, LLMs, APIs, and Outlook services for Microsoft Calendar and Teams. The role involves developing agent-driven solutions to reduce cognitive load and empower users in the hybrid work era.

Research Intern position focused on Human-AI Interaction in Healthcare, applying AI/ML and user-centered design to develop novel solutions for precision medicine. The role involves foundational discovery research, building interactive prototypes, and exploring generative UI and multimodal AI with clinical data.

The Microsoft 365 Copilot Windows App team is building intelligent, multimodal AI experiences into Windows, enabling AI agents using MCP to redefine user interaction with devices and bring AI to billions. The role involves designing and implementing intelligent features leveraging voice, camera, and screen context, building and optimizing agentic workflows, and owning end-to-end AI capabilities.

Research intern role focused on applying LLM and Agentic technology to improve the reliability of large-scale cloud and AI systems. The role involves analyzing production data, designing and building novel tools for monitoring and troubleshooting, and validating solutions on real Microsoft services.

Software Engineer II - CoreAI role focused on developing connectors and enriching ingested content with AI/ML capabilities for Azure AI Search, aiming to make it the knowledge and memory layer for Agentic applications. This involves generating vector embeddings, transforming data, and advancing multi-modal search.