Microsoft

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

Customer-facing role focused on driving adoption and business value of Microsoft's AI solutions, specifically Microsoft 365 Copilot and Cloud Endpoint solutions, by acting as a trusted advisor and technical subject matter expert.

The Principal Software Engineer role on the Azure Data engineering team focuses on building and optimizing big data analytics services, specifically within the Microsoft Fabric Spark team. The role involves pushing the frontiers of analytics performance and scale by working with open-source technologies like Spark, Gluten, Velox, and Delta, as well as proprietary Microsoft services. The goal is to improve onboarding and tuning of workloads, requiring an AI-forward approach to deliver impact at Azure scale. Responsibilities include designing, implementing, testing, and operating data services, mentoring engineers, and participating in live site operations.

Senior Software Engineer on the Ads Data Platform Team, part of Microsoft AI. The role involves designing and operating high-scale data platforms that process billions of events daily, supporting business analytics, machine learning models, and real-time reporting for Microsoft Ads. Focus on distributed systems, machine learning, and big data technologies.

Solution Engineer for Microsoft's Cloud & AI Data Platform, focusing on Azure databases and analytics services. The role involves driving technical sales, leading customer engagements like Proof of Concepts and hackathons, designing scalable architectures, and resolving technical blockers to accelerate customer adoption and modernization of their data platforms. Requires deep knowledge of Microsoft's data stack and on-premise data solutions.

Solution Engineer focused on data security for enterprise clients, helping them modernize their data security architecture and posture. The role involves driving technical sales, leading engagements, co-designing secure architectures, and resolving technical blockers. A key aspect is enhancing team capabilities for protecting data within AI Platforms and Applications, and accelerating AI applications and agents into customer development workflows.

Sales Specialist focused on Microsoft Security solutions for enterprise customers. Responsibilities include managing senior relationships, identifying opportunities, building business cases, and driving sales execution. Requires strong industry and security knowledge, technical acumen, and collaboration skills.

Solution Engineer focused on security, helping customers modernize their security architecture and posture by leveraging AI and Microsoft's security solutions. The role involves driving technical sales, leading engagements, building trusted relationships, and resolving technical blockers.

Principal Consultant role focused on leading the technical execution and delivery of complex client projects, embedding AI-first principles 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 within an AI-native context, with a strong emphasis on enterprise data architecture and modern platforms like Microsoft Fabric.

This role is for a Senior Software Engineer on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining the operating system for the unified data platform. The team focuses on observability, including telemetry creation, routing, storage, and consumption, supporting live-site monitoring, diagnostics, and analytics. The engineer will design and build scalable telemetry instrumentation services and pipelines, develop tools for metadata management, create job monitoring and notification services, and streamline operations through automation, leveraging Azure technologies and Fabric/Azure-Data stack.

Customer-facing Cloud Solution Architect specializing in AI and Azure workloads, responsible for guiding enterprise customers in their digital transformation and AI adoption journey. This role involves architectural design, deployment, and operational excellence for AI solutions on Microsoft Azure.

Software Engineer II on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining telemetry instrumentation services and pipelines, developing tools for metadata management, and creating job monitoring and notification services for data pipelines. The role focuses on providing high-quality data for running the service and business, supporting pillars like live-site monitoring, diagnostics, and analytics for product development, and ensuring customers have data for their own observability needs. The team applies classic cloud and software engineering practices alongside big data-engineering and analytical practices.

Solution Engineer focused on Azure cloud infrastructure for commercial customers, helping them design, migrate, and modernize architectures to support AI workloads and business-critical applications. This role involves technical sales, architecture design, and collaboration to drive Azure adoption and unlock value through AI-powered infrastructure.

This role focuses on helping enterprise customers migrate, modernize, and secure their infrastructure on Microsoft Azure, specifically enabling them to build and scale production-ready AI solutions. The Cloud Solution Architect will design and implement scalable solutions, optimize environments for AI workloads, and drive adoption of Azure services.

This role is a Solution Area Specialist, a high-level seller focused on guiding customers through AI-led business transformations using Microsoft's AI Business Process portfolio, particularly Power Platform. The role involves understanding customer needs, envisioning AI solutions, executing the sales process, and orchestrating virtual pursuit teams. It emphasizes driving profitability and achieving AI transformation wins.

Senior Data Scientist role within Microsoft Advertising focused on defining and delivering metrics, experimental design, and product iteration to improve user and business value. The role involves partnering with engineering and product teams to solve complex data science problems and influence product improvements through data-driven insights and workflows.

This role focuses on evolving the Windows UI platform (WinUI) to be AI-native, enabling AI agents to author, refactor, and optimize UI code. It involves designing semantic models, stable abstractions, and predictable composition patterns for AI consumption, as well as facilitating migration and adoption through AI-assisted tooling. The goal is to create a declarative, dynamic UI foundation that supports personalization and agent-driven mutation, making it easier for web and SwiftUI developers to adopt and future-proofing for AI-generated code.

The role is for a Software Engineer on the Experimentation Platform team within CoreAI at Microsoft. This platform enables high-scale online experimentation for AI systems and product features, helping teams ship better AI experiences faster. The engineer will design, implement, and maintain reliable, scalable services and features for this platform, contributing to its operational excellence and supporting AI innovation across Microsoft.

This role is for a Principal/Senior Software Engineer on the Experimentation Platform team within CoreAI at Microsoft. The platform enables high-scale online experimentation to accelerate product learning and drive progress across Microsoft's AI ecosystem. The engineer will design and build services for rapid iteration in AI systems and product features, empowering others to measure impact and validate hypotheses. The role involves developing critical components of a large-scale experimentation platform, focusing on distributed systems, service reliability, and experimentation methodologies.

This role is for a Principal Software Engineer on the Experimentation Platform team within Microsoft's CoreAI division. The platform enables high-scale online experimentation for AI systems and product features, accelerating product learning and driving progress across Microsoft's AI ecosystem. The engineer will lead architecture and development of this critical infrastructure, focusing on systems that help teams ship better AI experiences faster through rigorous experimentation and responsible AI practices.

Technical Program Manager for Microsoft's Health AI team, focusing on translating AI research into consumer products. The role involves managing end-to-end technical programs, driving cross-functional execution, and ensuring the quality, privacy, and security of AI-driven health features. Requires experience with production AI systems, launch processes, and working with compliance and legal teams.

Senior Software Engineer to join the on-device ML team for the Edge browser. The role involves delivering on-device ML capabilities via web APIs, integrating models and runtimes into Edge, developing evaluation pipelines and datasets, and contributing to the Chromium project. The focus is on shipping AI-powered features to end-users.

Senior Researcher at Microsoft Research focusing on advancing software engineering through rigorous research, integrating AI and agent technologies into programming languages, testing, and automated reasoning. The role involves driving high-impact research, developing new ideas, building state-of-the-art systems, and preparing technical papers and presentations.

Software Engineer II role focused on implementing advanced Identity and Access Management standards by leveraging emerging AI-forward technologies. The role involves improving AI tools and practices within the SDLC, incorporating Responsible AI, and experimenting with AI tools to enhance capabilities. It also emphasizes building scalable, secure solutions and adhering to modern software engineering practices, including the use of GenAI.

Senior Software Engineer role focused on implementing advanced Identity and Access Management standards by leveraging AI-forward technologies. The role involves improving AI tools and practices across the SDLC, incorporating Responsible AI, and using GenAI for coding and design.

This role focuses on designing, developing, and evaluating components for analog electronic devices, specifically within the Microsoft Quantum team. The engineer will define design approaches, technical specifications, and test requirements, leveraging industry-standard electronic design automation and electromagnetic simulation toolsets. A key aspect involves developing and refining process-design-kit (PDK) requirements for superconducting circuit technologies and collaborating with various teams to codesign for performance, scalability, and reliability. The role also includes leading the design and layout of superconducting cryogenic control and readout circuits and establishing physical-design, layout, and verification workflows. While the role mentions leveraging AI tools to accelerate discovery and drive innovation, the core craft is hardware engineering for quantum computing, not AI/ML model development.

This role focuses on building and scaling AI-powered growth systems for Microsoft's core AI products like GitHub Copilot and VS Code. The engineer will design, ship, and iterate on growth experiments, improve A/B testing frameworks, and use data to drive decisions, aiming to accelerate user adoption and engagement with AI features.

Senior Software Engineer role at Microsoft Azure Data engineering team, focusing on designing and building internal tools, engineering systems, and automation capabilities to enhance the quality and reliability of Power BI Desktop and Service. The role involves end-to-end tool development, including architecture, backend services, dashboards, telemetry integration, and AI-powered workflows, with a focus on integrating GenAI into developer workflows and modernizing engineering processes.

Principal Software Engineer focused on building AI-first growth and experimentation systems for Microsoft's CoreAI organization, which powers products like GitHub Copilot. The role involves architecting and implementing foundational engineering systems for measuring, experimenting with, and scaling AI experiences across Microsoft products, with a strong emphasis on engineering excellence, reliability, and driving measurable business outcomes.

Senior Product Manager for Azure High Performance Computing & AI team, responsible for defining, building, and managing AI supercomputers. The role involves understanding customer needs, identifying pain points, collaborating with SREs and developers to resolve challenges, and introducing new tooling and features to ensure a world-class customer experience on Azure infrastructure.

This role is for a Manager/Sr. Manager of AI Strategy within Microsoft's Office of the CEO. The focus is on shaping Microsoft's AI strategy across infrastructure, platform, and applications/agents, including thought leadership, rethinking the economics of AI, and translating strategy into product reality. It involves analyzing M&A, market trends, and influencing product direction. The role requires a background in strategy, consulting, or product management and collaboration across various company teams.

Senior Site Reliability Engineer for Microsoft Teams Core Services Infrastructure and Security team, focusing on building and operating mission-critical distributed systems for real-time communication. Responsibilities include network security, gateway infrastructure, routing, load balancing, DNS, CDN, monitoring, and observability. The role involves hands-on implementation, design discussions, incident response, and continuous improvement using automation and potentially AI-enabled tooling.

Senior Software Engineer role on the Azure Data engineering team, specifically focusing on the Power BI business intelligence product. The role involves technical planning, implementation, and monitoring of features, collaborating with program managers and partner teams, and mentoring junior developers. While the core product is BI, there's an emphasis on building the data platform for the age of AI and leveraging generative AI for copilot automation.

This role is for a Principal Software Engineer on the Azure Data engineering team, focusing on building and maintaining core components of the control plane for Azure Database for MySQL. The team's mission is to build the data platform for the age of AI, powering a new class of data-first applications. The role involves technical leadership, architecture, design, development, and maintenance of large-scale distributed systems, with a focus on availability, performance, and operational simplicity. While the team's mission is AI-centric, the core responsibilities are in building and operating database services, not directly developing AI models or agents.

This role focuses on building and owning end-to-end technical vision and execution for infrastructure analytics within Microsoft AI. The primary responsibility is to turn raw telemetry into trusted insights on utilization, capacity, readiness, and efficiency, supporting leadership in making informed investment and planning decisions at scale. The role involves designing and building scalable data pipelines, defining core metrics, architecting self-service dashboards and APIs, and ensuring data quality and governance.

Research intern role focused on optimizing storage systems for AI workloads, including training, checkpointing, and inferencing. The role involves working with leading-edge AI customers to gain insights into their needs.

This role is for a Cloud & AI Specialist on the SME&C team at Microsoft, focusing on selling Azure cloud solutions, particularly in AI and data, to small, medium, and enterprise customers. The specialist will work with sales, technical, and partner teams to propose solutions, drive digital transformation, and maximize Azure's value. The role involves account management, leading virtual teams, and achieving consumption targets, with an emphasis on consultative selling and leveraging Microsoft's full suite of services, including AI and data platforms.

Senior Software Engineer role focused on building and scaling AI infrastructure within Azure's specialized division. The role involves using AI tools in the SDLC, reviewing code, debugging, and collaborating with partner teams to ensure end-to-end functionality, scalability, and performance of AI workloads on the Azure platform. Experience in High Performance Computing (HPC)/AI infrastructure is preferred.

This role is for a Cloud Solution Architect specializing in Security, focusing on driving customer transformation using Microsoft's security solutions like Purview Data Security, Sentinel, and Defender XDR. The role involves owning the technical relationship with enterprise customers, designing and implementing security architectures, and ensuring successful customer outcomes. It requires deep technical expertise in security, foundational AI, and cloud technologies, with a focus on Zero Trust, threat management, and SOC monitoring.

This role is for a Principal Consultant focused on the technical execution and delivery of complex client projects within Microsoft's Industry Solutions - Global Center Innovation and Delivery Center (GCID). The role emphasizes embedding AI-first principles and AI-native thinking into delivery models, leveraging AI tools like GitHub Copilot to drive engineering excellence and modernize applications. While AI is a significant theme and toolset, the core responsibility is project delivery and technical leadership, not direct AI model development or research.

Software Engineer for Microsoft Purview, focusing on data protection and governance solutions. The role involves using AI tools within the SDLC, contributing to architecture, and developing automation for production and deployment. It emphasizes cost-optimization and resource utilization for services.

This role is a Go-to-Market (GTM) Manager for Cloud & AI Platforms (CAIP) in Japan, focusing on accelerating revenue growth and customer adoption. The manager will partner with sales, marketing, and other functions to execute solution plays, drive demand generation, and act as an advocate for Azure and CAIP solutions. The role requires understanding emergent technologies, industry trends, and regulatory requirements, with a preference for experience leveraging AI for customer success.

Senior Researcher in Data Systems at Microsoft Research focusing on query execution, data storage, resource management, data discovery, and data preparation. Special interest in leveraging AI/ML for data management challenges. Past research has influenced products like SQL Server and Azure SQL Database. Requires a Doctorate or equivalent experience and a track record of research accomplishments, including major conference publications.

This role is for a Senior Thermal & Mechanical Engineer focused on cryogenic ASIC integration for quantum computing. While the role mentions leveraging AI tools for efficiency and working in an AI-first environment, the core responsibilities and deliverables are in thermal and mechanical engineering for quantum hardware, not in building or directly applying AI/ML models.

Software Engineer II role focused on building an AI-powered engineering system for Windows OS updates, aiming for efficiency, scale, and re-bootless deployment. The role involves leveraging AI to solve engineering and scale problems, working with cloud-native applications on Azure, and utilizing OpenAI APIs or similar LLM platforms. Requires strong understanding of Windows OS internals and experience with databases.

Product Manager II for Azure HPC/AI team focusing on networking for large-scale AI training supercomputers. The role involves working with AI compute product managers, AI model developers, and datacenter experts to ensure operational uptime and workload throughput for AI supercomputers. The goal is to support the training of advanced AI models for consumer and enterprise services.

This role is for a Senior Software Engineer on the Microsoft Azure High Performance Computing & AI Engineering team, responsible for managing the core platform and fleet of AI High Performance Computing products. The role involves designing and developing capabilities to monitor and operate supercomputers at scale, diagnosing and troubleshooting large-scale systems, and creating data pipelines for telemetry and alerts. While the role supports AI customers and uses AI HPC products, the core craft is infrastructure engineering and operations, not direct AI/ML model development.

This role is for a Principal Consultant focused on AI-first infrastructure delivery. The consultant will lead the technical execution of complex client projects, embedding AI-native thinking into delivery models. Responsibilities include designing, building, and optimizing cloud and on-premises infrastructure solutions, leveraging automation and intelligent orchestration, and ensuring secure, scalable, and high-performing environments. The role requires proficiency in Python for AI integration and scripting, and experience with Azure AI Services.