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 Software Engineer on the Identity for Services (ID4S) Team within Microsoft Entra, focusing on authentication and authorization components. The role involves developing robust, extensible APIs, collaborating with cross-functional teams, and ensuring security, resilience, and performance. The team embraces AI-powered workflows to accelerate development and improve efficiency, exploring new ways to co-create with AI for better engineering outcomes. The primary focus is on building and maintaining core security services, with AI being a tool to enhance development processes.

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.

This role focuses on improving the customer experience for Microsoft's security products by identifying and resolving technical issues, gathering feedback, and contributing to product improvements. While it leverages AI tools like Security Copilot and mentions AI-driven solutions, the core function is not building AI models but ensuring the effective deployment and operation of security solutions for customers.

This role is for a Principal Engineer in Azure Storage, focusing on enhancing storage control plane and disk platforms to meet the demands of AI-scale workloads. The engineer will lead design and implementation of optimizations, identify and address bottlenecks, and ensure system availability, performance, and fault tolerance. The role involves working with distributed systems and cloud technologies to support AI applications.

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.

This role focuses on helping customers migrate, modernize, and secure their infrastructure and applications to lay the groundwork for scalable AI solutions on Azure. The Cloud Solution Architect will design resilient architectures, drive modernization initiatives, and ensure environments are optimized for AI use cases, working closely with IT decision makers and Microsoft engineering teams.

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.

The Principal Software Engineer will join the M365 Evaluation Platform Team to enhance the evaluation system for AI offerings, supporting millions of users. The role involves building capabilities to enable agile and faster evaluations, providing continuous tools throughout the development lifecycle, and automating tasks via tools or agents to improve performance understanding. The focus is on building reliable, scalable infrastructure and driving quality in products using data, with a platform engineering mindset.

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.

This role is for an Azure Apps and AI Solution Engineer focused on designing and delivering modern, intelligent applications using Azure AI Foundry and agentic AI patterns. The engineer will partner with customers to modernize their application estates, enable AI-powered workloads, and guide them through application modernization decisions. Key responsibilities include designing secure, scalable, and resilient cloud application architectures that support AI workloads, translating technical capabilities into business outcomes, and leading technical sales efforts through demos and proof of concepts. The role requires hands-on experience with generative AI workloads on Azure, including RAG, multi-agent orchestration, and LLM engineering fundamentals.

This role leads end-to-end production for Microsoft's in-house advertising agency, focusing on modernizing operations with AI-accelerated, in-house models. The Senior Director will define production vision, build best-in-class processes, lead teams, and champion the integration of AI tools to enhance speed, iteration, and scalability while protecting craft and brand quality.

Software Engineer on a data engineering team that builds and manages large-scale, real-time data platforms and analytics systems. The role focuses on transforming raw signals into trusted, high-quality data products used for automation, decision-making, and AI-driven workflows, enabling agentic automation for infrastructure services. The team uses modern data mesh architectures and emphasizes reliability, governance, and observability.

Seeking a Senior Process Engineer with UHV experience and a background in superconductor/semiconductor materials for quantum computing system fabrication. The role involves running and owning manufacturing processes, driving development, and implementing mature processes into the Plan of Record (POR) flow. Responsibilities include fabricating quantum devices, monitoring and controlling fabrication process flows, yield tracking, data analysis, and root cause analysis for device quality and fabrication processes. The role also requires troubleshooting operational issues and participating in UHV tool maintenance. While not core to the role, the candidate should be able to leverage AI tools for innovation and efficiency in an AI-first environment.

Software Engineer role focused on building and integrating customer-facing AI services within Microsoft's CoreAI organization, specifically within the Responsible AI group. The role involves designing, implementing, and delivering software features, debugging, troubleshooting, and ensuring secure coding practices for high-performance, low-latency, and high-availability AI services. While the role is within an AI organization and involves working with AI platforms and LLMs, the core responsibilities are in software engineering for AI services rather than direct AI/ML model development.

This role provides technical support for Microsoft's security and compliance products, including AI-powered solutions like Microsoft Security Copilot. The engineer will assist enterprise customers with advanced technical issues, acting as a liaison between customers and product development teams. The role involves troubleshooting, problem-solving, and contributing to product quality improvements, with a focus on cloud security, SIEM, and identity security.

Cloud Solution Architect focused on driving AI transformation for enterprise customers using Microsoft 365 Copilot, Agentic AI, Copilot Studio, and Power Platform. Responsibilities include architecting solutions, leading customer-facing technical conversations, guiding AI adoption, and conducting Secure AI Assessments.

This role is for a Sr Digital Solution Engineer focused on Microsoft's Cloud & AI Data Platform for K12 and Community College customers. The engineer will drive technical sales, lead hands-on engagements like PoCs and hackathons, build trusted relationships with platform leads, and resolve technical blockers. The role requires deep expertise in Microsoft Fabric, Azure Databricks, Purview Data Governance, and Azure Databases (SQL DB, Cosmos DB, PostgreSQL), as well as on-prem EDW and Hadoop solutions. The goal is to help customers modernize their data platforms and accelerate adoption of Microsoft's cloud database and analytics stack.

This role is for a Cloud Solution Architect focused on helping enterprise customers deploy AI-powered applications on Azure. The role involves technical engagements across design, build, and operations, removing blockers, and accelerating adoption of Azure AI services. It emphasizes execution excellence, customer value realization, and growth of Azure consumption in a regulated, partner-driven market. The architect will collaborate with customers, sales, and partners to ensure production readiness and build trusted relationships.

Backend Engineer role focused on building and scaling the core backend platform, including Orchestrator, Inference, and APIs, for Microsoft's personalized AI assistant, Copilot. The role involves developing consumer-facing AI-powered features and experiences in a fast-paced environment.

The Principal Software Engineer will design and implement large-scale distributed systems for Azure AI Translation and Language services, focusing on infrastructure for model inference, service reliability, and platform architecture. This role involves defining and evolving platform architecture for high availability, scalability, and performance, driving improvements in reliability and operational excellence, and building core infrastructure components. Collaboration with applied science and product teams is key, as is mentoring engineers.

This role is for a Senior Software Engineer on the Core AI team at Microsoft, focusing on building the foundational platforms and services for Microsoft Foundry Platform. The role involves designing and developing platform services for enterprise AI agent solutions, including agent tooling frameworks, authentication, control plane APIs, and advanced security features. The engineer will also drive live site excellence and adopt AI-first development practices.

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.

Software Engineer II on the Commerce – Platforms, Data, and Experiences (PDX) team, focusing on data strategy, scalable data platforms, and ML-driven insights. The role involves data engineering, data processing, and machine learning to solve business problems, design experiments, build predictive models, and develop scalable solutions. Responsibilities include designing analytics solutions with ML models, ensuring operability and scalability, conducting data analysis and feature engineering, leading experimentation, and building solutions on LLM models.

Senior 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 PoCs and hackathons, and collaborating with engineering to accelerate adoption and modernize customer data platforms. Requires deep knowledge of Microsoft's data analytics portfolio and cloud technologies.

This role is for a Sr. Data Engineer who will partner with the Legal Business Operations team, focusing on understanding and modernizing their technology stack using AI. The role involves end-to-end technology ownership, managing proof-of-concept evaluations, supporting production operations, and bridging the gap between stakeholders and engineering resources. Responsibilities include data pipeline development, system monitoring, documentation, and stakeholder communication, with a focus on evaluating new tools and approaches.

Technical Program Manager to drive mission-critical programs at the intersection of compliance, data engineering, and AI. Owns end-to-end delivery of technical programs that power Microsoft’s compliance investigations, fraud detection, risk analytics, and AI-assisted legal operations — working across data scientists, engineers, attorneys, and investigators to translate complex legal and regulatory requirements into scalable, secure, and impactful technology solutions.

Senior Solution Engineer for Security at Microsoft, focused on driving security modernization for customers by leveraging AI applications and agents in their development workflows. The role involves technical sales, customer engagements, solution design, and acting as a trusted advisor to accelerate AI adoption and improve security posture.

Solution Engineer role focused on accelerating enterprise adoption of Microsoft's Azure AI and applications stack through hands-on engagements like PoCs, design sessions, and workshops. The role involves guiding customers on secure, scalable solution design, influencing technical decisions, and resolving blockers, with a focus on modernizing data platforms and realizing the value of Microsoft's AI offerings.

This role focuses on building and operating the core infrastructure layer of a large-scale, productized data platform that powers critical insights and systems across Azure-based services for AI Infrastructure. The platform processes terabytes to petabytes of data daily and requires a focus on orchestration, APIs, observability, and system reliability.

This role focuses on designing and implementing large-scale data pipelines and models for an AI infrastructure platform, processing terabytes to petabytes of data daily. The engineer will ensure data correctness, reliability, and usability for experimentation and analytics, working closely with data scientists and platform engineers.

This role is a pre-sales technical engineer for Microsoft's Power Platform and Copilot. The primary focus is on Power Apps, Copilot Studio, and M365 Copilot, with additional use of GitHub Copilot, Fabric, and Agent 365 for value proposition. The role involves understanding customer needs, solving business challenges, and guiding them to success, with a strong emphasis on sales mindset and technical consulting.

This role is for a Customer Experience Engineer focused on Microsoft Intune within the Security organization. The primary responsibility is to resolve complex technical issues for customers, partner with software engineering on product improvements, and provide Mission Critical Support. While the role involves leveraging and experimenting with AI and agentic AI to simplify problem-solving and enhance customer experience, the core function is customer support and product feedback, not direct AI model development or deployment.

This role is for a Mobile Engineer (iOS or Android) on the Health AI team at Microsoft. The engineer will build and evolve the core Copilot experience for health and wellbeing, translating cutting-edge research into real-world products used by millions. The role focuses on shipping high-quality mobile applications and collaborating with various teams.

Cloud Solution Architect focused on Microsoft 365 Copilot and AI-powered productivity solutions. The role involves designing, governing, deploying, and optimizing Copilot experiences at enterprise scale, acting as a trusted technical advisor to customers. Responsibilities include leading end-to-end solution architecture, advising on integration with customer data and workflows, ensuring responsible AI principles, and guiding governance, security, and compliance.

This role focuses on building tools and platform components for data privacy and governance within Microsoft's personal AI and Copilot systems. The engineer will work with AI researchers and other engineers to ensure data integrity, regulatory compliance, and secure data usage, shipping high-quality code for these systems.

This role is for a Principal Data Scientist on the Microsoft Advertising Data Science Team. The team focuses on marketplace monitoring, defining metrics, building analytical and experimentation frameworks, and enabling data-driven decisions. The role involves solving complex data science problems across users, advertisers, and publishers, leveraging data science techniques in a dynamic environment.

This role is a Principal Data Infrastructure Engineer focused on enabling large-scale data and ML pipelines and intelligent systems for consumer AI. It involves architecting and maintaining scalable, reliable, and observable Big Data Infrastructure, championing DevOps and SRE best practices, and building a self-service big data platform. The role requires collaboration with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows and optimize system performance and security. While not directly building AI models, the role is critical for supporting AI applications and infrastructure.

This role is for a Senior Customer Experience Engineer within Microsoft Security's CARE organization. The primary focus is on providing technical leadership, resolving escalations, and acting as a trusted advisor for strategic customers using Microsoft Security products. While the role involves working with generative AI solutions like Microsoft Security CoPilot, the core responsibilities are centered around customer support, incident management, and influencing product direction based on customer feedback, rather than directly building or researching AI models.

Senior Software Engineer role on the Cloud+AI Silver Dataverse Team, responsible for deploying and operating Dataverse services in an air-gapped, highly secured, and regulated environment. The role involves working on a hyperscale SaaS data and AI platform that underpins Microsoft Power Platform and Dynamics 365, serving Fortune 500 companies for CRM/ERP needs. Key responsibilities include leading architecture, ensuring security and compliance, driving automation, and utilizing AI tools for engineering productivity. Requires experience in complex IT environments, distributed/air-gapped systems, and cloud technologies, with a strong emphasis on security and compliance due to the nature of the customers and environment. Active Top-Secret clearance is mandatory.

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.

Senior Software Engineer on the Ads Data Platform Team at 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. The position requires experience in distributed systems, machine learning, and big data technologies, with a focus on building and maintaining high-performance systems for online serving.

Senior Software Engineer to build and run scalable services for Microsoft 365, focusing on real-time communication products like Teams. The role involves applying large data and machine learning techniques to improve services, designing media streaming components, and analyzing production telemetry.

Software Engineer II role in the Intelligent Conversation and Communications Cloud (IC3) team at Microsoft, focusing on building and running scalable services for Microsoft 365 products like Teams. The role involves developing real-time media stack components, designing client and server media streaming/communication components, and applying machine learning techniques for system improvements.

Software Engineer on the Microsoft Fabric OneLake & ISVs team, focusing on building and maintaining the operating system for a unified data platform. The role involves customer-focused feature development, onboarding partners, and supporting strategic relationships to integrate solutions with OneLake and Fabric. Success requires delivering robust, low-latency solutions that enhance partner integration, leveraging modern AI tools like Microsoft Copilot and GitHub Copilot.

Software Engineer II for Microsoft's Azure Data engineering team, specifically within the Core AI group of the Power BI organization. The role focuses on building and operating agentic workflows and modern data applications to enable next-generation data visualization and analytics, powering AI-first data apps and decision intelligence.

Senior Software Engineer on the Power BI Core AI team, focusing on building agentic creator workflows and AI-first data applications to enhance data visualization and analytics.

Senior Cloud Solution Architect focused on data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. This customer-facing role involves guiding organizations through data modernization and AI journeys, leading architectural design, proof-of-concepts, and production deployments for mission-critical workloads. The role emphasizes performance, resiliency, and security, utilizing technologies like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview to maximize data and AI investments.