Currently tracking 427 active AI roles, up 208% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $193k).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer - Finance Data & Experiences 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. | Ship | 5 |
| Full Stack Engineer II 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. |
| Ship |
| 5 |
| Software Engineering IC4 Software Engineer on the Search & AI Platform team at Microsoft, responsible for building the next generation of storage and computation fabric for Bing and Copilot. The role involves working on massively scaled distributed systems, collaborating with stakeholders, designing and implementing features, and acting as a Designated Responsible Individual (DRI) in a DevOps model. The engineer will also focus on improving the availability, reliability, efficiency, observability, and performance of products. | — | 5 |
| Principal Software Engineer This role is for a Principal Software Engineer on the Web Data Platform Team, focusing on scaling the global web scale Index and its supporting platform. The primary responsibility is to enhance the Web Crawler team's platform, which handles tens of billions of URLs daily and is crucial for Search and Recommendation scenarios. The role involves containerizing the service, building the next version of the crawler for increased throughput and global deployment, while intelligently minimizing load on websites. The system must balance discovering new web pages with maintaining document freshness and avoiding excessive crawl requests. It's a distributed platform that uses ML models for resource efficiency, and web-scale data is highlighted as critical for both training and serving use cases with LLMs. | — | 5 |
| Principal Software Engineer - Copilot Identity This role focuses on defining and leading the strategy for authentication, authorization, and account systems for Microsoft's consumer Copilot experiences across various platforms. It involves deep backend engineering, understanding consumer identity protocols, and balancing risk with velocity to ensure secure and seamless AI interactions. The engineer will ship secure code and frameworks, influence architecture, and collaborate with multiple teams to enhance identity and security for AI products. | — | 5 |
| Cloud & AI Platform - AI Infrastructure Cloud Solution Architect This role focuses on designing, implementing, and scaling AI-ready Azure infrastructure platforms for enterprise clients. The Cloud Solution Architect will ensure secure, resilient, and cost-governed foundations for AI workloads, including GPU platforms, networking, storage, and security. The role involves leading technical engagements, removing blockers, and industrializing repeatable patterns to support production-grade AI solutions and accelerate Microsoft Cloud consumption. | Serve | 5 |
| Principal Data Scientist - CoreAI This Principal Data Scientist role focuses on leveraging AI tools to accelerate workflows and amplify team productivity within Microsoft's CoreAI Growth and Data Science team. The role involves delivering insights, reporting, models, and tools to guide product strategy and drive growth across the developer ecosystem. Key responsibilities include providing critical analyses to executives, driving alignment across stakeholders, identifying high ROI data opportunities, contributing to data insight scaling infrastructure and culture, mentoring, and operationalizing models and reporting. While the role uses AI tools, its primary focus is on data science and analytics to support product strategy and growth, rather than building core AI models. | Data | 5 |
| Principle Technical Program Manager 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. | Ship | 5 |
| Data & Service Engineer Data Engineer role focused on building and operating data ingestion, transformation, and validation pipelines that power experimentation, insights, and AI features for SwiftKey. The role involves working with large-scale data systems in cloud environments, ensuring data quality, and supporting AI feature development. | Data | 5 |
| Cloud Solution Architect Manager This role is for a Cloud Solution Architect Manager focused on accelerating AI transformation for customers using Microsoft Azure. The manager will lead a team of individual contributors, guiding them in designing and building cloud solutions, with a particular emphasis on AI/GenAI projects like copilots, RAG patterns, and agentic workflows. The role involves customer-facing technical leadership, talent management, and driving business impact through the Cloud Accelerate Factory, ensuring successful delivery of AI solutions while considering Responsible AI and quality practices. | — | 5 |
| Senior Software Engineer - Finance Data & Experiences 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. | Ship | 5 |
| Senior Software Engineer - Finance Data & Experiences 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. | Ship | 5 |
| Principal Software Engineer The Principal Software Engineer will shape the end-to-end developer experience on Windows, focusing on platform capabilities, frameworks, tools, workflows, and AI-powered experiences. The role involves identifying and leading system-level improvements to enhance developer productivity and success on Windows, with a focus on AI-infused tools and agent-driven workflows. | Agent | 5 |
| Sr. Cloud Solution Architect - Cloud & AI Infrastructure - CTJ - Top Secret This role is for a Sr. Cloud Solution Architect focused on Cloud & AI Infrastructure within Microsoft Federal. The primary responsibility is to enable customers to adopt and scale cloud and AI solutions by providing architectural guidance, driving migration initiatives, and ensuring optimized environments for AI workloads. The role requires building trusted relationships with IT decision-makers, leading architectural design sessions, and ensuring end-to-end technical delivery. A Top Secret security clearance is a mandatory requirement. | — | 5 |
| Engineering Manager - Windows Security Engineering Manager for Windows Enterprise & Security team, responsible for leading a team to ship enterprise and security-critical Windows capabilities. The role emphasizes leveraging AI-forward engineering practices to improve productivity, quality, and developer effectiveness, while also establishing guardrails for responsible AI tool usage. | — | 5 |
| Principal Platform Technical Program Manager This role is for a Principal Platform Technical Program Manager at Microsoft, focusing on leading the execution of next-generation accelerated AI computing systems for Azure. The role involves shaping early definition, aligning cross-disciplinary teams, and ensuring platforms meet performance, reliability, and operational readiness requirements. It spans from early engineering development through validation, NPI, pilot deployment, and fleet-level readiness, requiring strong program leadership and technical insight to drive disciplined, cross-functional execution across internal teams, technology partners, and global manufacturing/supply chain organizations. The emphasis is on delivering reliable, production-ready AI infrastructure at scale. | — | 5 |
| Cloud Solution Architect (CSA) - Data Platforms & Analytics This role focuses on designing, modernizing, and operationalizing data platforms on Microsoft Azure to power analytics and AI for enterprise customers. The Cloud Solution Architect will work in a customer-facing capacity, leading architecture design, proof of concepts, and production deployments, ensuring the readiness of these platforms for AI use cases. The role involves collaborating with customers and engineering teams to deliver value and drive adoption of Azure data services. | — | 5 |
| Senior Software Engineer - HR Employee Experience This role focuses on building and improving internal HR products and services at Microsoft, with a strong emphasis on integrating AI capabilities like intelligent automation, LLM-driven assistants, and predictive analytics to enhance employee experience and streamline tasks. The engineer will design, build, and maintain high-quality, scalable, and secure systems, leveraging AI tools throughout the development lifecycle and driving test strategy including AI-assisted testing. | Agent | 5 |
| Principal Software Engineer This Principal Software Engineer role focuses on building and operating large-scale, real-time data pipelines and feature/embedding materialization systems for Microsoft Ads. The role involves designing and implementing streaming ETL, managing messaging systems like Kafka, ensuring data contracts, and integrating with ML inference serving. Success metrics include freshness, correctness, latency, reliability, and cost. The role requires strong programming skills, experience with distributed systems, and observability. | DataServe | 5 |
| Software Engineer II Software Engineer II to join the Microsoft Discovery team, working on an AI-driven platform that uses AI agents and high-performance computing to accelerate scientific research and development. The role involves designing and building scalable, distributed systems, delivering features from ideation to rollout, and improving engineering velocity through AI-enabled process enhancements. Collaboration with Microsoft Research and platform teams is key, along with applying site-reliability engineering practices. | Agent | 5 |
| Member of Technical Staff - Full Stack Software Engineer Full Stack Software Engineer to build capabilities for Microsoft's personalized AI assistant, Copilot. The role involves working across the evaluation platform, including data sampling, collection, processing, analysis, and insight generation. Responsibilities include full-stack development, prompt engineering, leveraging AI tools, and collaborating with teams to assess Copilot's performance, trustworthiness, and visual appeal across various platforms and scenarios like multi-turn conversations with voice input. | Eval Gate | 5 |
| Cloud Solution Architect - AI Apps This role focuses on helping customers deploy and scale AI-powered applications on Azure. The Cloud Solution Architect will lead technical engagements, design solutions, ensure production readiness, and contribute to reusable intellectual property. The role involves collaborating with customer executives and engineers to drive business value and adoption of Azure AI services. | — | 5 |
| Cloud Solution Architect (Azure, Security and AI) This role is for a Senior Cloud Solution Architect (CSA) with POD Lead responsibilities focused on driving delivery excellence, technical quality, and operational discipline for vendor CSAs within a designated group. The role involves technical guidance, architectural oversight, and delivery assurance across Microsoft solution areas including Azure, Security, and AI. It requires strong project management, leadership skills, and an investigative approach to customer engagements in secured cloud environments. The primary focus is on enabling customers to achieve business value through Microsoft's cloud services, with AI being one of the solution areas supported. | — | 5 |
| Multidisciplinary Manager, Industry Solutions Engineering (ISE) / Data Science 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. | Ship | 5 |
| Multidisciplinary Manager, Industry Solutions Engineering (ISE) / SWE 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. | Ship | 5 |
| Multidisciplinary Manager, Industry Solutions Engineering (ISE) / TPM 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. | Ship | 5 |
| Principal Technology Consultant-CTJ-Poly 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. | Ship | 5 |
| Digital Cloud Solution Architect - Cloud & AI Platforms (German Speaking) This role is for a Digital Cloud Solution Architect focused on Cloud & AI Platforms for Small Medium Enterprises and Channel customers in Ireland, requiring German language skills. The architect will lead customer engagements, drive Azure consumption, architect solutions, and collaborate within the Microsoft ecosystem to ensure successful cloud deployments, leveraging AI-powered sales strategies and leading-edge cloud services. | — | 5 |
| Senior Software Engineer- Frontend Senior Software Engineer focused on frontend development for Microsoft Clarity, a user behavior analytics platform. The role involves leading the design and delivery of complex, scalable AI features, owning end-to-end user-facing features, and collaborating with product and design teams to build AI-forward, intuitive, high-performance interfaces. The engineer will also drive architecture decisions, mentor other engineers, and partner with backend and data teams. The role emphasizes using AI tools like GitHub Copilot Pro and Claude Code to accelerate development workflows. | — | 5 |
| Software Engineer II - Finance Data & Experiences Software Engineer II role in the Finance Data & Experiences organization at Microsoft, focusing on redefining how the company measures, monitors, and optimizes its global business. The role involves applying cutting-edge technology, including AI, to deliver high-impact business solutions and drive business excellence. It requires collaboration across various departments and leveraging Microsoft Cloud and AI technologies to build scalable, intelligent systems. | — | 5 |
| Software Engineer II - Finance Data & Experiences Software Engineer II role in Microsoft's Finance Data & Experiences organization, focusing on leveraging AI and cutting-edge Microsoft Cloud technologies to build intelligent systems for business operations. The role involves assessing new technologies, implementing AI in daily coding, collaborating on complex problems, and providing feedback on Azure services and Power Platform. Requires a Bachelor's degree and 2+ years of technical experience, with preferred qualifications including experience with AI developer tools, agentic AI patterns, LLMs, prompt engineering, and agent frameworks. | Agent | 5 |
| Senior Data Scientist Senior Data Scientist role within Microsoft's Industry Solutions Engineering (ISE) team, focusing on developing AI and cloud-based solutions for customers. The role involves data acquisition, dataset development, model evaluation, and building operational models at scale, working collaboratively with customers and internal product teams. | Data | 5 |
| Senior Interactive Web Designer Senior Interactive Web Designer at Microsoft, focusing on creating high-impact digital experiences for consumer brands like Windows, Surface, and Copilot. The role involves leading visual and interactive expression, combining design sensibility with front-end fluency using modern web technologies. Responsibilities include experience design, front-end development, interaction and motion design, prototyping, performance optimization, accessibility, and data-informed iteration. The role requires 6+ years of experience, expertise in Figma and component-based design systems, strong proficiency in web technologies (React, HTML, CSS, JavaScript), and comfort using AI tools to accelerate workflow. | — | 5 |
| Principal Software Engineer Principal Software Engineer role focused on leading the architecture, design, and implementation of high-scale, low-latency services with an AI First approach within Microsoft's Identity engineering team. The role involves driving AI/ML-based engineering solutions, cloud environments (Azure), and large distributed systems, with a strong emphasis on security and reliability. | Serve | 5 |
| Principal Software Engineer Principal Software Engineer to architect and deliver high-quality, high-scale cloud services for next-generation identity and security scenarios, focusing on how applications and intelligent agents are identified, trusted, and authorized. The role involves building foundational capabilities for secure access by both human-operated and AI-driven applications, shaping the future of secure AI and identity. | Agent | 5 |
| Principal Software Architect This Principal Software Architect role focuses on defining and owning the technical strategy for managed identity and service-to-service authentication at Microsoft. A key responsibility is to lead innovation in the application of AI, including guiding the adoption of AI-driven tools for engineering productivity and shaping/delivering AI agents for automating operational and engineering workflows at scale. The role requires deep technical judgment and platform-level ownership within a highly secure and resilient system. | Agent | 5 |
| Senior Software Engineer Senior Software Engineer to design and build a Postgres-based database for modern, AI-native, agent-driven workloads within Microsoft Fabric. The role involves innovating on query planning, execution, and storage layers to support high-performance data access for next-generation applications, extending PostgreSQL with open engines and formats. | Serve | 5 |
| Software Engineer 2, Azure DataBases Software Engineer role focused on building next-generation data platforms in Azure, specifically Azure Database for PostgreSQL and HorizonDB, which have built-in AI capabilities. The team works on client experience, telemetry, and LLMs to improve product insights and customer-facing surfaces. The role involves designing and delivering user experiences and platform capabilities, owning complete features, and working with other disciplines. | — | 5 |
| Software Engineering - CTJ - Poly Software Engineer role focused on building and maintaining secure, scalable cloud infrastructure for Azure AI Platform workloads, specifically for air-gapped and sovereign cloud environments. The role involves designing, developing, and operating foundational services that power Azure Machine Learning, Azure AI Services, Azure OpenAI, and Microsoft Foundry capabilities, leveraging AI-assisted development tools and adhering to strong engineering fundamentals. | Serve | 5 |
| Principal Data Scientist 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. | Ship | 5 |
| Software Engineer II (Networking) Software Engineer II role focused on delivering scalable and secure networking capabilities for private and hybrid cloud environments using AI tools to enhance the software development lifecycle. The role involves full-stack development, API design, microservices, and ensuring security and reliability. | — | 5 |
| Cloud Solution Architect - Cloud & AI Infrastructure This role focuses on helping customers migrate, modernize, and secure their infrastructure on Microsoft Azure, specifically to lay the foundation for scalable, production-ready AI solutions. The Cloud Solution Architect will design and implement scalable solutions, resolve blockers, and accelerate adoption of Azure services, ensuring customer environments are optimized for AI use cases. While the role supports AI, its core craft is cloud infrastructure architecture and migration, not direct AI/ML model development or research. | — | 5 |
| Sr. Digital Solution Engineer - Data & Analytics This role is for a Sr. Digital Solution Engineer focused on Data & Analytics on Microsoft Azure and Fabric. The engineer will act as a technical expert and advisor to customers, designing and delivering data platform and analytics solutions, with a focus on AI integration. Responsibilities include customer engagement, solution design, hands-on technical execution (POCs, pilots, demos), and driving technical wins for Azure. | — | 5 |
| Senior Software Engineer This role focuses on building foundational UX systems for Microsoft Copilot within Microsoft 365, aiming to make Copilot feel intelligent, responsive, and integrated into the user's workflow. The Senior Software Engineer will own features end-to-end, collaborate with cross-functional teams, and contribute to shared systems that power Copilot across various endpoints like Teams, Outlook, and Office apps. The role emphasizes designing, building, and maintaining scalable, user-facing systems using modern web technologies, with a strong focus on performance, accessibility, and engineering craft. | — | 5 |
| Senior Software Engineer The Senior Software Engineer will work on the Power Platform connection management space, a critical platform that enables secure, scalable, and compliant access to enterprise and thirdparty systems. This service is a core dependency for Copilotbased agents, lowcode and procode workflows, and intelligent applications across Microsoft. The role involves designing, building, and operating highscale backend services for connection and credential management, ensuring secure authentication and authorization, and driving architectural decisions for connection lifecycle, isolation, throttling, and resiliency. | Agent | 5 |
| Business Management and Agentic Lead This role focuses on the operational support and agentic transformation of an executive office within Microsoft's Customer Experience and Success organization. The Business Management and Agentic Lead will support the Rhythm of Business (RoB) director and Chief of Staff with operational execution, calendar governance, team planning, and coordination. A key aspect is partnering with an AI transformation lead to redesign manual workflows into agentic processes, identify, prioritize, and automate high-impact processes, and support the rollout and adoption of these new agentic workflows. | — | 5 |
| Software Engineer II - CoreAI This role focuses on building core services for an AI evaluation platform, specifically for agent observability within Microsoft's CoreAI group. The engineer will design, implement, and deliver AI services to support product offerings for large-scale agent observability, collaborating with product management and partner teams, and taking end-to-end responsibility for development lifecycle and production readiness. | Eval GateAgent | 5 |
| AI Governance Consultant (Japan) AI Governance Consultant to help enterprise customers build and operate AI governance frameworks, focusing on responsible AI use, risk management, and compliance with regulations like NIST AI RMF, ISO/IEC 42001, and EU AI Act, using Microsoft products such as Agent365, Purview, M365 Copilot, and Azure AI. | Agent | 5 |
| Sr. Cloud Solution Architect - CTJ - TS/SCI This role is for a Sr. Cloud Solution Architect specializing in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. The role involves delivering engagements across architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security for mission-critical workloads. The architect will leverage existing IP and execution engines to drive delivery excellence, accelerate adoption, and ensure successful customer deployments for services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. Collaboration with engineering teams, sharing best practices, and staying current with trends are key to helping customers maximize their data and AI investments. The role requires deep technical expertise in data and analytics, customer engagement skills, and the ability to influence product improvements. A U.S. Government Top Secret/SCI Security Clearance is required. | — | 5 |
| Cloud Solution Architect (data platforms and analytics) 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. | Ship | 5 |