Microsoft

Engineering Manager for Copilot Memory and Personalization, focusing on building AI systems that remember, evolve, and personalize user experiences. The role involves leading a team of backend and ML engineers, contributing to codebase and infrastructure, and shipping AI-powered features for millions of users.

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.

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.

Principal Product Designer for Microsoft AI Monetization, focusing on next-generation CRM and Marketing technology experiences. The role involves crafting AI-powered solutions that unify sales and marketing workflows, exploring AI agents, predictive insights, and conversational interfaces to enhance productivity and intelligence for advertisers, publishers, sellers, and consumers. The position emphasizes end-to-end design execution, user-centered approaches, and collaboration across disciplines to deliver category-defining products.

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.

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.

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.

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 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 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.

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.

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 role focused on leveraging AI tools and practices within the Finance Data & Experiences organization at Microsoft. The role involves designing, developing, and owning scalable, distributed systems and data-powered solutions, with a strong emphasis on integrating AI capabilities to enhance business processes and user experiences. Responsibilities include leading architecture discussions, building high-quality code, driving automation, and implementing AI safety standards, while championing AI-native development across the SDLC.

Full Stack Engineer II on the Bing GenAI team, responsible for building end-to-end features for Copilot and Bing. This role involves working across the entire technology stack, from backend C# services and prompt engineering to frontend UI development using server-side and client-side frameworks. The goal is to shape the future of AI-powered search and deliver intelligent systems to billions of users.

Principal Technical Program Manager for Industry Solutions Engineering team at Microsoft, focusing on customer engagements to develop AI-powered, cloud-based solutions. The role involves leading complex engineering programs, orchestrating solutions, and driving adoption of AI and cloud services, utilizing AI tools across the software development lifecycle.

Senior Software Engineer role focused on leveraging AI tools and practices within the Finance Data & Experiences organization at Microsoft. The role involves developing and owning test strategies, leading architecture discussions for AI-integrated solutions, building AI-driven code, and driving automation. The engineer will use AI tools responsibly throughout the SDLC, improve engineering processes, and mentor peers on responsible AI usage, with a focus on delivering high-impact business solutions.

Senior Software Engineer role focused on leveraging AI tools and practices within the Finance Data & Experiences organization at Microsoft. The role involves developing and owning AI-integrated solutions, driving automation, implementing AI safety features, and championing AI-native development across the software development lifecycle to deliver high-impact business solutions.

Principal Product Designer for Microsoft AI Monetization, focusing on building next-generation AI-powered products for advertising and monetization across various Microsoft consumer surfaces like Copilot, Bing, and MSN. The role involves end-to-end design ownership, driving innovation, and shipping world-class AI-powered consumer experiences.

Manager for an Industry Solutions Engineering team focused on delivering customer outcomes using AI and cloud technologies. The role involves leading a multidisciplinary team of engineers, coaching talent, and championing AI-forward practices to build broadly applicable, high-impact solution patterns and open-source assets.

Manager for an Industry Solutions Engineering team focused on delivering customer outcomes using AI and cloud technologies. The role involves leading a multidisciplinary team, coaching engineers, and championing AI-forward practices to build customer solutions.

This role leads a multidisciplinary engineering team focused on developing and delivering high-impact customer outcomes using AI-forward hypervelocity engineering. The team will apply responsible AI practices and integrate emerging AI capabilities into customer solutions, acting as a player-coach and enabling technical program managers.

This role focuses on designing and implementing enterprise-scale cloud architectures, specifically leveraging Azure AI services and generative AI solution patterns. The consultant will guide customers on secure, compliant, and responsible AI adoption, including integration with Microsoft 365 Copilot, and advise on adoption, governance, and value realization. The role involves customer engagement, technical quality assurance, leading meetings, managing escalations, and driving the adoption of Microsoft cloud technologies.

Principal Product Manager for AI Monetization in Ads & Creatives, focusing on building AI-driven creative products for advertisers to produce high-quality assets at scale, drive performance, and maintain brand integrity. The role involves owning the vision, strategy, and roadmap, partnering with cross-functional teams, and leveraging generative models and creative performance signals. The goal is to establish Microsoft as a leader in responsible AI-powered creative advertising.

Product leader for Microsoft's Security Access Service Edge (SASE) strategy, focusing on building and scaling Microsoft Entra Internet Access and Private Access. The role involves advancing AI-driven capabilities for threat detection and automation, ensuring secure adoption of AI workloads, and translating customer insights into product features. This is a people management role with a focus on product vision, strategy, and roadmap.

Principal Product Manager for Microsoft Advertising's Smart Bidding products, focusing on AI-driven, scalable advertising solutions. This role requires deep AI/ML expertise, technical background, and experience in defining product vision, stakeholder management, and go-to-market planning.

The Principal Data Scientist will work on Copilot Discover, a personalized AI content feed within Microsoft's Copilot apps. The role involves building metrics systems, analyzing large datasets for recommendation systems, designing A/B tests, and communicating insights to stakeholders to improve engagement and product relevance. The focus is on leveraging data science to enhance AI-powered personalized web experiences for consumers.

Seeking an experienced Solution Architect to lead customer AI adoption using Microsoft's AI solutions, focusing on end-to-end architecture and business transformation. The role involves conceptualizing, proposing, and driving AI-centric solutions across Microsoft's AI portfolio, including M365 Copilot, Azure OpenAI, and data platforms.

This role focuses on building privacy products for AI monetization across various Microsoft products (Ads, Bing, Copilot, Xbox, LinkedIn, ABK). The core responsibility is to ship software enabling consent, transparency, controls, and privacy-preserving personalization, acting as a platform for other teams to build compliant AI monetization features. The role involves defining product roadmaps, building platform primitives (APIs/SDKs), partnering with engineering on runtime guardrails, improving personalization quality under privacy constraints, defining metrics for trust and revenue, enabling privacy-safe partnerships, and driving cross-org adoption.

Cloud Solution Architect specializing in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. This customer-facing role involves leading technical engagements from architecture design to production deployments, advising C-level executives, and partnering with Customer Success Leaders to shape cloud strategies. The role focuses on services like Microsoft Fabric, Azure Databricks, and Azure SQL, collaborating with engineering teams and staying current with data and AI trends.

Senior Cloud Solution Architect for Microsoft Federal, focusing on Azure workloads including AI, data, applications, and infrastructure. This role involves leading strategic technical engagements, acting as a trusted advisor to executives, and driving the adoption of AI solutions at scale within US government agencies. The architect will ensure successful project delivery, shape Cloud and AI strategy, and accelerate Azure consumption.

Senior Cloud Solution Architect for Microsoft Federal, focusing on Azure workloads including AI, data, applications, and infrastructure. The role involves leading strategic technical engagements, acting as a trusted advisor to executives, and driving the adoption and implementation of AI solutions for US government agencies. Key responsibilities include ensuring successful project delivery, leading architectural design, optimizing AI readiness, and accelerating Azure consumption.

Solution Architect specializing in AI, responsible for enabling customers to achieve their goals through strategic investments in Microsoft technology, leveraging Azure or Data & AI solutions. The role involves leading technical discussions, guiding customers to extract maximum value, and identifying solutions to overcome challenges in their data and AI projects. Responsibilities include designing secure, scalable Data & AI solutions, leading architecture design sessions, driving POCs/MVPs, ensuring technical delivery, and providing delivery oversight for Data & Analytics workloads. The role also focuses on driving technical excellence for mission-critical data workloads, identifying and resolving technical blockers, and maintaining deep technical expertise in Microsoft's evolving data and AI capabilities.

Cloud Solution Architect specializing in Data & AI on Microsoft Azure, responsible for driving technical strategy, architecture design, and deployment of data and AI solutions for Small, Medium, and Corporate customers and Partners to achieve business outcomes and Azure consumption growth.

This role is for a Principal Software Engineer on the Copilot Content Experience team at Microsoft. The team is responsible for delivering the best user experience for various surfaces like the Copilot app, Edge browser, and Windows Widgets. The role involves implementing full-stack features, improving feed experiences across different products and endpoints, and collaborating with international teams. The position requires solid full-stack engineering capabilities, experience leading teams, and a background in AI with hands-on experience developing or integrating AI into development processes. The role is highly visible, impacting millions of users and having significant monetization opportunities.

Software Engineer II role focused on enhancing the quality and reliability of Power BI Desktop and Service by developing automation frameworks, engineering systems, and integrating AI/GenAI into testing and development workflows. The role supports live site operations and aims to improve engineering efficiency and compliance within Microsoft's Azure Data engineering team.

Data Scientist role focused on optimizing GPU utilization for AI models and ensuring the safety and productivity of Microsoft Copilot by identifying and mitigating abuse instances. The role involves driving product insights, defining metrics, building data pipelines for experimentation, and analyzing large volumes of telemetry data.

Solution Engineer role focused on helping enterprise developers understand and adopt Microsoft's AI-powered developer stack, including GitHub, Visual Studio, and Azure AI. The role involves technical sales, hands-on engagements (PoCs, hackathons), and guiding customers in integrating AI into their development workflows to boost productivity and become AI-native.

Software Engineer in Microsoft's DevDiv division focused on integrating AI into developer tools to enhance productivity. The role involves designing and developing software components, leveraging AI technologies like GitHub Copilot and LLM-based code tools, dogfooding internal AI tools, and researching/experimenting with AI techniques to improve engineering workflows.

This role is for a Principal Consultant within Microsoft's Industry Solutions - Global Center Innovation and Delivery Center (GCID). The primary focus is on leading the technical execution and delivery of complex client projects, embedding AI-native thinking into delivery models, and ensuring solutions are intelligent, scalable, and aligned with business outcomes. The role involves driving engineering excellence, innovation, client engagement, and team mentorship, with a strong emphasis on delivering AI-powered solutions that achieve specific business KPIs.

Principal PM Manager for Employee Experiences (EX) within HR Technology and AI, focusing on multi-year product strategy and execution for employee-facing platforms. Drives AI-enabled innovation, ensures improvements in employee experience, operational efficiency, and business outcomes in a highly regulated environment.

Software Engineer role focused on AI-Native Development within the Cloud+AI Azure Data Team. The role involves using AI tools in the SDLC, ensuring security and compliance in a regulated, air-gapped environment, and contributing to the development of data platform services for AI-powered applications. The position emphasizes secure and reliable coding practices, code reviews, and testing within a disciplined engineering framework.

Principal Software Engineer Manager to lead engineering teams responsible for developing, deploying, operating, and continuously improving Azure services within Microsoft Specialized Clouds. This role focuses on AI-native development, guiding teams on the use of AI tools and Responsible AI practices throughout the SDLC, ensuring operational rigor, automation, and compliance in regulated cloud environments.

Customer-facing Cloud Solution Architect role focused on helping commercial customers productionize AI-powered applications on Azure. Responsibilities include leading technical engagements for architecture design, POCs, and MVPs, ensuring production readiness of mission-critical workloads, and driving adoption of Azure AI, App Services, Containers, and GitHub. The role requires deep technical expertise in Azure and cloud-native development, with a focus on scalability, resiliency, and readiness for AI use cases.

Software Engineering Intern role focused on building AI-first tools and runtimes for developer productivity within Microsoft's Core AI team. The role involves designing and implementing solutions that make AI development faster, safer, and more intuitive, impacting millions of developers globally.