Microsoft

Principal Data Scientist role within Microsoft's Industry Solutions Engineering (ISE) team, focusing on developing AI-powered cloud solutions for customers. The role involves data acquisition, model evaluation, research, and strategy definition, with a strong emphasis on customer collaboration and delivering impactful, scalable solutions.

Principal Software Engineer to lead architecture and delivery of a Teams-integrated product (Innovation Studio) that uses agentic AI workflows, Azure-native services, and modern web experiences to help organizations run hackathons and accelerate ideas. The role involves defining how the team uses agentic development itself for various SDLC stages.

The Applied Scientist II will design, develop, and ship AI models into the Teams media stack, focusing on real-time conversation products like Teams. This role involves building end-to-end ML systems, from data cleaning and feature engineering to model training, evaluation, and deployment, with an emphasis on optimizing for performance and memory, and updating deployed models based on A/B testing.

Senior Software Engineer on the Bing Multimedia team, focusing on AI-powered visual discovery and multimodal experiences. The role involves designing and building large-scale AI systems, integrating LLMs and multimodal AI into production, and contributing to both backend services and user-facing components for Bing Image Search and other Microsoft AI products.

The Principal Software Engineer - Performance Tooling role focuses on optimizing the performance of AI models, particularly LLMs, across various hardware platforms (GPUs, CPUs) and software layers. This involves benchmarking, debugging, profiling, and optimizing for large-scale training and inference to reduce deployment time and hardware footprint, contributing to the efficiency of AI services like Azure OpenAI.

This role focuses on building and extending AI-driven agents for incident triage, classification, and automation within Microsoft's Azure Data engineering team. The goal is to replace manual operations with engineered solutions, improving the stability and efficiency of cloud-scale data infrastructure.

This role focuses on architecting and designing AI solutions, specifically leveraging Microsoft's Copilot and agent technologies, to address customer business challenges. The architect will assess customer AI readiness, translate business requirements into technical solutions using Power Platform, Azure, and Microsoft 365 Copilot, and ensure scalable, secure, and compliant deployments. The role involves close collaboration with customers, product engineering, and delivery teams to drive adoption and validate business value.

This role focuses on co-engineering Generative AI and agentic solutions for enterprise customers on Microsoft platforms. The consultant will translate ambiguous business needs into requirements, design and implement GenAI/agentic solutions, prototype rapidly, and ensure production-ready implementations with testing, monitoring, and secure deployment. Key responsibilities include identifying and mitigating AI-specific risks, building agentic workflows with tool invocation and guardrails, and implementing evaluation strategies for AI output quality and safety.

Senior Consultant, AI Business Solutions at Microsoft, focusing on co-engineering GenAI and agentic solutions for customers on Microsoft platforms. The role involves translating ambiguous business needs into working prototypes and production-ready solutions, with an emphasis on end-to-end delivery, risk mitigation, and evaluation of AI outputs. Requires strong engineering and consulting skills to deliver measurable business outcomes.

Data Scientist role focused on applying machine learning and statistical analysis to develop, train, optimize, and evaluate models for enterprise customers. The role involves data preparation, model evaluation, and integrating these models into customer systems, with a strong emphasis on Responsible AI.

Senior Software Engineer role focused on integrating AI capabilities into traditional computer systems and products across Microsoft's Experiences & Devices division. The role involves formulating design patterns, creating prototypes, architecting solutions, and delivering AI-enabled experiences, with a focus on agent-based systems and AI integration into agent workflows.

Product Manager for the IQ Team (Ontology & Semantic Layer) within Azure Data, focusing on building the semantic backbone that gives AI agents context to reason about business. The role involves defining and delivering the semantic layer vision for Fabric, driving AI-native scenarios by grounding agents in live business operations, and leading end-to-end product strategy and execution for AI solutions on the Fabric platform.

Software Engineer role focused on building an agentic engineering platform for AI-powered productivity across Microsoft's codebases, involving AI models and orchestration frameworks.

Senior Software Engineer role focused on building an agentic engineering platform for Microsoft developers, leveraging AI models and orchestration frameworks to enhance software engineering workflows like code refactoring and understanding. The role involves designing, developing, and deploying platform capabilities, applying AI-assisted development tools, and mentoring other engineers.

This Principal Software Engineer role focuses on building a new AI agent platform for enterprise use within Microsoft Copilot Studio. The role involves designing and delivering scalable, secure, and reliable platform capabilities for autonomous agents that can perform multi-step work, operate across contexts, and integrate with Microsoft 365 and Power Platform tools. The position is at the intersection of distributed systems, applied AI, and user experience, requiring leadership in system design, technical execution, and championing engineering excellence.

Applied Scientist II role on the Bing Places team, focusing on building and shipping AI/ML solutions for local search experiences. The role involves end-to-end work from problem formulation to production deployment, with a focus on LLMs, RAG, learning-to-ranking, and entity understanding. Collaboration with engineering and product partners is key, with opportunities for publications and patents.

Senior Applied Scientist role focused on leveraging LLMs, SLMs, and RAG models to improve the Bing Places platform. The role involves designing, developing, and deploying AI solutions, creating data pipelines, and staying updated on AI/ML research. Collaboration with multidisciplinary teams and mentoring junior members are key aspects.

Principal Research Manager to lead AI research strategy and execution for Microsoft's Commercial Engineering & AI (CEAI) division, focusing on transforming commercial business with AI-native engineering and intelligent systems. The role involves managing a research team, driving AI UX innovation, and ensuring research directly informs product development and delivers measurable impact for users and the business.

This role focuses on developing and operationalizing machine learning models for threat detection within Microsoft's security ecosystem. It involves building supervised and unsupervised models, applying graph-focused ML techniques, and analyzing large security datasets. The role also includes data engineering for feature pipelines and running experiments to improve detection quality, with a strong emphasis on translating research into production-ready solutions.

Principal Architect role focused on leading enterprise-scale AI adoption and delivery, embedding AI-native principles, and driving intelligent automation and agentic workflows. The role involves acting as a trusted advisor to C-suite executives, shaping technical strategies, and ensuring engineering excellence and compliance in regulated environments.

Principal Software Engineer at Microsoft focused on AI within the Finance Data & Experiences organization. The role involves leading architecture for complex AI-driven products, improving AI tools and practices in the SDLC, mentoring engineers, driving integration, ensuring security and compliance, and innovating automation for zero-touch deployments. The goal is to leverage AI for business excellence and customer satisfaction, with an emphasis on Responsible AI practices.

Senior Security Researcher role focused on threat hunting within Microsoft Defender Experts. The role involves exploring large datasets to detect advanced attack techniques, generating custom alerts, collaborating with data science and threat research teams, and building hunting tools and automations. Requires a strong background in cybersecurity, data analysis, and potentially machine learning, with a focus on enterprise security and threat intelligence.

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.

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.

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 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.

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.

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.