This role focuses on engineering user-facing AI features for Microsoft's personal AI, Copilot. The engineer will own the development lifecycle from inception to delivery, build secure and performant AI platform services, and collaborate with researchers and other engineers to create next-generation AI products. The role emphasizes shipping high-quality, well-tested, secure, and maintainable code within a fast-paced product development cycle.

This role focuses on building AI-powered web experiences for Microsoft Copilot, collaborating with researchers and product managers to deliver a world-class AI companion. The engineer will design and build efficient front-end systems and infrastructure for complex web applications, ensuring safety and reliability for millions of users.

Lead a team of software engineers to develop and launch AI-powered features for educational technology products, focusing on consumer-facing applications like study modes and quiz generation. This role involves people management, technical leadership, and collaboration with cross-functional teams to deliver impactful AI solutions in the EdTech domain.

Technical Program Manager for AI Infrastructure at Microsoft AI, focusing on building and optimizing platforms for large-scale foundation model training, deployment, and serving. The role involves coordinating projects, collaborating with researchers and engineers, and driving progress in a 0->1 environment.

The role focuses on building and maintaining data infrastructure for large-scale AI model training, specifically ingesting and processing enormous amounts of multimodal data (text, audio, images, video). This includes owning data pipelines, Spark, Ray, and Vector Databases, and partnering with pretraining and post-training teams to improve the data recipe for frontier models.

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.

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.

Software Engineer II role within the Dynamics 365 Contact Center team, focusing on building AI-first, scalable contact center solutions on Azure. The role involves designing and implementing intelligent features, integrating AI models, and collaborating with cross-functional teams to deliver production-ready systems for large businesses.

Software Engineer IC4 at Microsoft, focusing on building the platform for Microsoft's advertising business. The role involves designing and building backend services on Azure, driving an Azure Kubernetes migration, and delivering full-stack features. While the core is platform engineering, there are opportunities to work on AI-powered product features like Copilot and LLM integrations, and the role emphasizes using AI-powered development workflows.

This role focuses on evolving the Microsoft 365 design system for the AI era, specifically as M365 Copilot expands. The Principal Product Design Architect will explore and apply emerging AI tools within the design system workflow, prototype utilities to accelerate the design process, define how AI models interface with design libraries, and establish system architecture and lifecycle standards. The goal is to build the foundation for AI-native UX across M365 and simplify the productivity ecosystem.

Senior Service Engineer for Microsoft Advertising's Trust and Safety team, focusing on platform integrity, security, and fraud detection. The role involves analyzing large-scale data, leading complex investigations, and designing scalable solutions using automation and AI to improve detection and strengthen platform resilience. Requires experience in advertising, data analysis, cybersecurity, and programming languages like Python, with familiarity in ML/AI concepts.

Principal Software Engineer for the GitHub Copilot API team, focusing on backend large-scale service design, execution, and operations. The role involves shaping and building a robust, scalable, and reliable platform for GitHub Copilot, leading the design and evolution of highly available backend services and APIs for global scale. Key responsibilities include hands-on implementation, architecture reviews, mentorship, and ensuring system health, reliability, performance, and cost-efficiency. The role requires deep experience in distributed systems and operating them in production, with a focus on platform capabilities, architectural patterns, and security/compliance.

Senior Software Engineer for Microsoft's Global Skilling Product Team, focusing on Azure Full Stack development to build enterprise-grade features for learning platforms. The role involves leveraging AI and Copilot features to enhance user experience, modernizing content operations, and developing AI/LLM models for test failure analysis. The engineer will also lead junior engineers and collaborate with cross-functional teams to deliver high-quality, scalable, and secure solutions impacting millions of learners.

Consultant role focused on delivering end-to-end data and AI solutions using Microsoft technologies. Responsibilities include solution design, development, deployment, and ensuring customer value through technical expertise and customer focus. The role involves working with Azure Data Services, AI/ML foundations, and operationalizing ML pipelines.

Principal Technical Program Manager to drive high-impact engineering projects with customers and partners, transforming their missions using AI and other cloud-based solutions and services. This role involves defining customer scenarios, orchestrating engineering approaches, and developing end-to-end user stories. The TPM will work within a cross-functional team of engineers, data scientists, and designers to build innovative solutions side-by-side with strategic customers.

Service Engineer II role focused on building AI-driven automation and full-stack tools to improve the reliability, quality, and customer experience of the Microsoft Advertising platform. The role involves deep technical investigations, debugging distributed systems, writing production-quality code, and partnering with engineering teams. Experience with AI-based coding tools is required.

Solution Engineer focused on driving customer adoption of Microsoft 365 Copilot, Copilot Studio & Agents, and related AI-powered productivity solutions. The role involves leading technical engagements, delivering demonstrations, guiding customers through envisioning sessions, and ensuring governance, security, and compliance.

Software Engineer role in Microsoft's CoreAI division, focusing on building AI-powered developer tools and services. The role involves designing, building, and operating core platform services for developers across the application lifecycle, including code management, CI/CD, testing, and running applications on Azure PaaS. It emphasizes AI as a core building block, integrating AI into engineering and lifecycle systems to improve efficiency, quality, and productivity, while ensuring enterprise-grade trust, security, and reliability.

Software Engineer role focused on building AI-integrated tools and backend services for proactive alert lifecycle management within Microsoft Security. The role involves applying LLMs to simplify incident workflows and reduce cognitive load during live site events, aiming to improve detection and notification times for service incidents.

This role focuses on designing, building, and optimizing end-to-end cloud and on-premises infrastructure solutions, with a significant emphasis on supporting AI/ML workloads. The consultant will leverage Azure AI Services, containerized AI workloads, and integrate models into cloud environments, acting as a full-stack infrastructure consultant.

Full Stack Engineer role focused on designing, developing, and deploying modern cloud-based applications on Microsoft Azure, with a significant emphasis on integrating AI capabilities. The role involves working with Azure AI services, RAG patterns, agent-based patterns, and prompt engineering to build AI-enabled applications for enterprise customers.

This role focuses on designing, building, and optimizing cloud and on-premises infrastructure solutions, with a specific emphasis on leveraging Azure AI Services as infrastructure components for applications. The consultant will integrate OpenAI/Frontier models into cloud environments using secure and scalable patterns, requiring proficiency in Python for automation and AI integration, and experience with AI developer tools. The role also involves cloud strategy, networking, DevOps, and security practices within Azure.

Senior Consultant Data & AI at Microsoft, focusing on delivering end-to-end data and AI solutions for clients. Responsibilities include designing, developing, and deploying solutions on Microsoft technologies, building AI-powered data pipelines, feature engineering, operationalizing ML pipelines, and working with LLMs, NLP, Computer Vision, RAG, and Gen AI frameworks. The role emphasizes Azure Data Services, Data Warehouse, and MLOps concepts.

Software Engineer 2 at Microsoft's CoreAI organization, specifically within the Responsible AI group. The role focuses on building customer-facing AI services with a scalable, sustainable, high-performance architecture, emphasizing high availability, low latency, and robustness. Responsibilities include designing and developing large-scale distributed cloud services, leading project development, taking end-to-end ownership of the development lifecycle, and upholding software engineering best practices. Experience with ML model development, release, and operations, as well as AI tools across the SDLC, is preferred.

This role is for a senior technical leader to manage and define the vision for developer experience for large-scale AI Research. The team owns foundational systems like monorepo, CI/CD, build systems, and developer environments, serving hundreds of engineers and researchers. The role involves leading a team, driving AI-first development practices, and improving engineering velocity through agentic AI workflows and optimizing training/experimentation workflows.

Manager of Cloud Solution Architects (CSAs) leading a team of senior technical experts to help enterprise customers design and deliver secure and scalable AI solutions on Azure, focusing on data, application innovation, and infrastructure workloads. The role involves guiding the team in driving customer success through architectural leadership, technical delivery, and innovation, accelerating adoption of AI services, and fostering a culture of learning and excellence.

Sr. Consultant focused on designing, building, and optimizing cloud and on-premises infrastructure solutions, with a specific emphasis on AI workloads. This role requires expertise in Azure AI Services, integrating frontier models, and managing AI developer tools as infrastructure components. The consultant will ensure secure, scalable, and high-performing environments for AI applications.

This role focuses on customer experience engineering for Microsoft Intune, a cloud-based service for managing devices. The engineer will resolve complex technical issues, partner with software engineering on design and feedback, flag product defects, and engage with critical customer accounts. A key aspect is identifying trends from customer usage to drive product improvements, and experimenting with AI and agentic AI to simplify problem-solving and enhance customer experience. The role also involves sharing best practices and driving process improvements.

Full Stack AI Application Developer role focused on designing, developing, and deploying modern cloud-based applications on Microsoft Azure. This role involves integrating AI capabilities like search, chat, and recommendations using Azure AI services, RAG patterns, and agent-based workflows. The position requires hands-on experience with full-stack development (.NET, Node.js, Angular/React) and Azure AI services, including prompt engineering and responsible AI principles.

Consultant role focused on delivering end-to-end data and AI solutions using Microsoft technologies. The role involves designing, developing, and deploying solutions, with a focus on data engineering, ML-ready datasets, and operationalizing ML pipelines on Azure. It requires strong foundational knowledge of Azure Data Services, AI/ML concepts, and experience with AI-powered data pipelines.

This role is a pre-sales, technical sales position focused on helping enterprise customers design and implement modern data platforms and AI-driven solutions on Azure. The engineer will translate Microsoft's Data + AI platform into business outcomes and guide customers towards secure, scalable, production-ready architectures, driving technical sales and solution design through demos, PoCs, and workshops.

Software Engineer II on the Business & Industry Copilot Foundations team at Microsoft, focusing on integrating AI technologies into Dynamics 365, Flow, and PowerApps. Responsibilities include developing scalable cloud services and APIs, collaborating with product managers and partner teams, implementing features with modern software engineering practices, and owning features end-to-end. The role involves monitoring, troubleshooting, and supporting live-site reliability, availability, and performance using telemetry and logging. Requires a Bachelor's Degree in Computer Science or related field and 2+ years of technical engineering experience. Preferred qualifications include experience with generative AI or LLM/ML algorithms, Microsoft stack technologies, LLMOps frameworks, container technologies, and experience across the product lifecycle.

Principal Software Engineer (Architect) role focused on Identity and Access Management within Microsoft Security. The role involves translating user needs into architecture, owning system design, leading coding practices, driving implementation, and ensuring reliability. A key aspect is championing an AI-first engineering model and scaling intelligent automation across the SDLC.

This role focuses on security operations and identity and access management (IAM) within Microsoft's Cloud & AI organization. The engineer will ensure secure access, drive identity lifecycle management, and enable automation using tools like PowerShell and Power Automate, with an emphasis on integrating AI-powered workflows. While AI is mentioned as a tool for automation, the core function is security operations and IAM engineering, not building AI models themselves.

This role focuses on designing and delivering modern, governed data platforms using Microsoft Fabric, Azure Databricks, and Azure SQL, enabling customers to modernize their analytics and data estates for AI-ready solutions. It's a technical sales role that guides organizations through data platform modernization, focusing on secure, scalable, and resilient cloud data architecture.

This role is for a Senior Director of Cloud & AI at Microsoft Federal, focusing on leading a team of Cloud & AI Solution Architects to enable U.S. Federal Government customers to achieve their goals using Microsoft technology. The role involves people leadership, driving customer success, ensuring production deployments, and accelerating Azure adoption, with a strong emphasis on security and mission-critical work within a regulated environment.

This role is responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI, specifically focusing on enterprise AI agent solutions within the Microsoft Foundry Platform. The role involves designing and developing platform services, agent tooling frameworks, authentication flows, control plane APIs, and advanced security features, while ensuring high performance, reliability, and adherence to strict enterprise requirements.

Consultant role focused on designing, building, and deploying AI-enabled business solutions using Microsoft platforms like Dynamics 365, Power Platform, and Microsoft 365 Copilots. The role involves customer engagements, implementing AI-augmented features, and ensuring solutions align with architecture and security guidelines.

This role focuses on ecosystem data science within Microsoft AI, owning cross-product measurement strategy, shared systems, and experimentation frameworks. The principal will apply machine learning, statistical modeling, and experimentation to large datasets to define and deliver metrics that measure user and business value across products. Responsibilities include mentoring, developing data strategies, designing and executing experiments, collaborating with product and engineering teams, and establishing standards for data quality and operationalizing ML models. The role aims to optimize MAI-level outcomes and drive data-driven decision-making.

Senior Solution Architect for AI Business Solutions at Microsoft Federal Civilian Business Unit. This role focuses on leading enterprise-scale digital and AI transformation initiatives using Microsoft Dynamics 365, Power Platform, and Microsoft Cloud. The architect will act as a trusted advisor to senior executives, translating complex business challenges into AI-powered solutions and guiding customers from strategy through delivery. Key responsibilities include strategic advisory, enterprise architecture, technical vision for AI and agents, modernization of customer engagement using AI, and driving customer success in regulated environments. Requires strong technical expertise, business acumen, and experience in regulated environments.

This role provides technical support and readiness for frontline engineers and delivery partners working with Azure AI and governance. It focuses on ensuring engineers are technically prepared, processes are followed, and complex issues are resolved. The role also contributes to self-help resources and provides feedback for product and process improvements, acting as a subject matter expert within the Customer Service & Support organization.

Cloud Solution Architect for Financial Services, Superannuation, and Insurance (FSI) team, focusing on architecting modern, secure, and intelligent applications on Azure. The role involves guiding customers through cloud-native development, DevOps, and responsible AI integration, ensuring architectures meet stringent regulatory, security, and compliance requirements. The architect acts as a trusted technical advisor, influencing decisions and collaborating to deliver AI-enabled solutions for FSI workloads.

Senior Software Engineer for Azure Managed Redis team, focusing on large-scale distributed systems, deployment, upgrade, monitoring, and healing of Redis clusters. The role involves applying AI techniques to enhance engineering effectiveness, operational intelligence, and service reliability, while also building foundational platform capabilities and microservices for a hyperscale managed service.

Software Engineer II on the Visual Studio Marketplace and NuGet Team, focusing on building and operating CoreAI services. The role involves designing and developing complex cloud services, ensuring high availability, performance, and security, and integrating AI tools and features into developer ecosystems. Experience with prompt design, tool/function calling, eval harnesses, and agent patterns is preferred.

Software Engineer II on the Azure Dev Services team, focusing on building and operating scalable, low-latency distributed systems. The role involves integrating AI-assisted development tools and contributing to AI-enhanced features using LLMs, MCP servers, and RAG. Experience with cloud platforms and AI-powered solutions in production is preferred.

Senior Software Engineer role focused on building and operating scalable distributed systems for Azure Dev Services. The role involves integrating AI-assisted development tools and AI-enhanced features using LLMs and RAG, contributing to the development of AI-powered solutions in production environments.

This Principal Software Engineer role on the M365 AIForward team focuses on building enterprise-grade AI-powered solutions to enhance developer productivity. The role involves architecting and leading the design of complex, scalable systems, driving technical strategy, mentoring engineers, and developing end-to-end solutions. While the team is AI-focused and the role requires proficiency with LLMs and AI, the primary output is the engineering of these services and systems, not the direct research or development of core AI models themselves.

This role manages the technical aspects of eDiscovery processes, involving data identification, extraction, and classification using AI tools. It partners with product teams to improve eDiscovery features and works with engineering on custom development.