Microsoft

Senior Software Engineer focused on optimizing the inference performance of large language models (LLMs) like those from OpenAI, running on various hardware including GPUs and custom Microsoft silicon. The role involves benchmarking, debugging, and optimizing performance to enable efficient deployment at scale for major Microsoft products and Azure services.

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.

Senior technical leader responsible for shaping enterprise customer modernization of data estates and unlocking production-scale AI transformation. Guides design and adoption of AI-ready data platforms for Generative AI, Copilot, and agent-based solutions, working at the intersection of data, AI, and cloud platforms to drive end-to-end transformation from foundational data architecture to production AI outcomes at scale. Acts as a thought partner and strategic advisor, influencing customer roadmaps, platform decisions, and Microsoft solution plays.

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 role focused on building AI-powered tooling and test infrastructure for Azure Data integration products. The role involves using LLMs for test suite generation, identifying coverage gaps, detecting flaky tests, and prioritizing regression risks. It also includes building agents for automated diagnostics, log analysis, incident triage, and developing proactive observability with intelligent alerting. The engineer will also create AI-powered diagnostic tools for support and collaborate on automated incident response.

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.

Research Intern role focused on exploring the intersection of quantum applications and quantum system architecture using AI-driven methods and machine learning for advanced resource estimation. The goal is to co-design more efficient quantum systems aligned with real-world application workloads, from application intent to hardware realization.

Security Research Intern role focused on analyzing real-world nation state attacks to develop autonomous detection and disruption logic using AI-assisted tooling and agentic flows. The role involves investigating threats, reasoning over large-scale datasets, and contributing to the implementation of automated capabilities to protect users.

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.

Principal Data Scientist role within Industry Solutions Engineering (ISE) team, focusing on developing AI and cloud-based solutions with customers to address complex challenges. This role involves data acquisition, model development, evaluation, and strategy, working collaboratively with cross-functional teams and customers.

Principal Data Scientist role within the Industry Solutions Engineering (ISE) team, focusing on developing AI and cloud-based solutions for customers. This role involves data acquisition, model evaluation, developing operational models at scale, and collaborating with cross-functional teams and customers to solve complex business challenges.

Seeking a Principal Product Manager to drive the design, development, and deployment of generative AI-powered contact center solutions for Dynamics 365. This role involves working directly with top customers on pre-sales and deployment, building solutions hands-on, educating on best practices, and influencing the product roadmap.

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.

The Principal Product Manager will lead product strategy for AI Integrity Foundations, focusing on post-deployment safety, abuse monitoring, content authenticity, and incident response for frontier AI models and experiences. This role involves defining vision and roadmap for foundational integrity capabilities, improving abuse detection systems, owning incident response product capabilities, evolving provenance and content authenticity, and partnering with various teams to integrate AI integrity and security into Microsoft's ecosystem. The goal is to enable responsible deployment, regulatory compliance, and real-world abuse detection of AI systems and agents at scale, driving 0-to-1 product development and establishing key metrics for AI integrity posture.

Product Manager for Responsible AI, focusing on defining and driving product requirements for capabilities that ensure safe, secure, and trustworthy AI systems. The role involves translating emerging AI risks into scalable product features, working across the AI development lifecycle, and engaging with enterprise customers to understand real-world risks and validate product direction. Success is measured by delivering adopted features that improve AI safety, security, or compliance outcomes.

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.

Principal Software Engineer for Microsoft AI's Copilot Discover team, focusing on backend platform for agentic vertical content generation, AI model serving, data ingestion, caching, and serving. Powers content across Microsoft products for over 1B customers. Requires strong distributed systems, cloud storage, and data processing experience.

Principal Group Product Manager for OneDrive and SharePoint AI solutions team, shaping the vision and strategy for AI solutions built and customized on SharePoint. The role involves enabling AI solutions, delivering vertical AI value, and tailoring experiences for enterprise customers. It also includes leading a PM organization, fostering customer obsession and innovation, and driving integration with Copilot and Copilot Studio for agentic solutions. The role emphasizes accountability for growing AI usage, empowering customizers, and raising the bar on AI capability evals.

Senior Software Engineer role focused on building AI-powered operational excellence for Azure Reliability. The role involves developing evaluation loops, generalizing ML solutions into frameworks, operationalizing prompted classifiers at scale, and ensuring responsible AI practices.

This role focuses on optimizing the performance of AI inference workloads by exploring micro-architectural innovations and validating end-to-end performance. The Principal Silicon Performance Architect will own performance modeling, analysis, and simulation infrastructure, working closely with chip, system, and software architects to drive data-backed design decisions for improved throughput, latency, and efficiency.

Senior Software Engineer focused on performance tooling for AI frameworks, enabling large-scale training and inference of LLMs on various hardware. The role involves benchmarking, debugging, profiling, and optimizing performance for models like OpenAI's LLMs, aiming to reduce deployment time and hardware footprint.

Senior Software Engineer to work on Azure Translator and Language AI services, focusing on building and scaling large-scale AI systems for natural language processing.

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.

Principal Program Manager for Strategic Innovation within Microsoft Security Office of the CTO, focusing on identifying, shaping, and driving portfolio-level security incubations for Security for AI and GenAI-driven defense. The role involves translating emerging AI-driven risks into executable strategies and roadmaps, collaborating with product and engineering teams, and engaging with Fortune 500 CISOs.

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.

This role focuses on advancing the state-of-the-art in AI/ML research and driving innovation from theory into reality by blending research and development techniques. The individual will work on the design, development, execution, and implementation of technology research projects, with a focus on technology transfer into products and services. The role requires a PhD student in a related field and involves understanding research literature, preparing data for analysis, and contributing to patents and white papers.

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.

Engineering Manager for Copilot Applications at Microsoft, focusing on building and leading a team to ship AI-powered experiences that integrate modalities (text, voice, vision, action) and shape human-AI interaction for millions of users. The role involves hands-on contributions, architectural guidance, and driving implementation of features and systems within a fast-paced, ambiguous environment.

Principal Product Manager for DevOps AI within CoreAI at Microsoft, focusing on leading platform investments to improve how engineers build, ship, and operate software using AI. The role emphasizes turning AI-assisted development into a trusted, end-to-end capability across the engineering lifecycle, ensuring AI workflows meet standards for security, reliability, compliance, and operational excellence.

The role focuses on optimizing ad performance through algorithm development, machine learning, and experimental analysis within Microsoft Advertising's Ads Monetization Algo team. It involves designing and implementing bidding strategies, auction mechanisms, and automation algorithms for advertisers, directly impacting significant revenue. The role requires a strong background in quantitative fields and experience in developing and deploying live production systems.

Product Manager role focused on the growth and deployment of AI multimodal models, working at the intersection of research and product growth to drive user adoption and revenue. Responsibilities include identifying growth opportunities, defining product deployments, owning KPIs, and collaborating with engineering, research, and marketing teams to execute go-to-market strategies.

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.

PhD Intern role focused on applying advanced machine learning concepts and data analysis to real-world problems, developing prototypes, and contributing to research in machine intelligence.

This role is for a Principal Software Engineering Manager in the Windows Ecosystem & Commercial Engagements (WECE) team. The manager will lead a team of engineers to build features into Windows, leveraging AI-assisted engineering. The role requires experience in managing engineering teams and shipping LLM-based systems to production, with a focus on delivering value to hundreds of millions of users.

Senior Software Engineer role within Microsoft's CoreAI organization, focusing on building and integrating Responsible AI services. The role involves end-to-end ownership of AI services, ensuring they are customer-facing, high-performance, low-latency, and highly available, while adhering to Responsible AI principles. This includes AI-native development, coding, design, engineering excellence, implementation, reliability, and understanding user requirements.

The Azure AI Inferencing team is seeking a Principal Software Engineer to lead the architecture and design of a large-scale, high-throughput, low-latency model-serving platform for Azure OpenAI generative models, supporting billions of requests daily. The role involves end-to-end ownership of solution quality, cross-team collaboration, incident response, and championing security, privacy, and Responsible AI.

Research intern position focusing on generative audio, AI for audio, speech enhancement, spatial audio, and audio devices. The role involves working on well-defined projects, collaborating with researchers, and potentially publishing findings. Requires enrollment in a PhD program and experience in audio signal processing. AI/ML experience is strongly preferred.

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 build and scale the core serving systems, request routing, and distribution for all LLMs across Microsoft and Azure customers. The role focuses on delivering inference capabilities reliably, efficiently, and with ultra-low latency for a wide range of AI-powered product experiences.

CTO for Enterprise ASEAN, Thailand, focusing on designing and implementing Cloud + AI + Agentic technology roadmaps for enterprise customers. The role involves winning CXO mindshare, driving digital transformation, and creating thought leadership in areas like Generative AI and Agentic solutions.

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.

Backend Software Engineer II for Microsoft Viva Insights (Copilot Analytics), which empowers organizations by providing AI-powered insights to understand and accelerate Copilot and Agent adoption. The role involves designing, implementing, and operating large-scale distributed backend systems using generative AI and ML techniques, with a focus on government cloud environments (GCC-High/DoD). Responsibilities include building and managing Azure infrastructure, collaborating across disciplines, and ensuring service reliability through strong engineering practices and observability.

This Principal PM Manager role at Microsoft AI focuses on managing a team to design, evaluate, and improve AI systems' interactions with tools, APIs, and users. The role involves prompt engineering, policy design, and safety, ensuring AI workflows are accurate, compliant, and user-friendly. Responsibilities include creating policies, designing/refining prompts, evaluating AI responses, and improving model quality and safety for Microsoft AI Monetization.