copilot p0ps jobs in redmond wa usa

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Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on  copilot.microsoft.com , Edge Browser and Window OS. You\u2019ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it\u2019s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0\u00a0 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities In this role, you will:\u00a0 Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future\u00a0 Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world\u00a0 Design and build efficient and reusable front-end systems that drive complex web applications\u00a0 Plan and deploy front end infrastructure necessary to build, test, and deploy our products\u00a0 Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.\u00a0\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR Master's Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR equivalent experience.  Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.\u00a0 Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.\u00a0 Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.\u00a0 Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.\u00a0\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113552", "isPrivate": false}, {"id": 1970324837017711, "name": "Member of Technical Staff- Product Evaluation Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757470074, "t_create": 1750188311, "ats_job_id": 1970324837017711, "display_job_id": 1970324837017711, "type": "ATS", "id_locale": "1970324837017711-en", "job_description": "Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects. Feature Implementation: Leverage your expertise in JavaScript and its ecosystem, (React JS experience is a must, Next JS experience is a bonus), to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation. Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions. Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models. Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java 4+ years of experience in building and deploying web-based tools or applications. Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java OR equivalent experience. 4+ years of experience with Next JS or other modern JavaScript frameworks. 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation. Demonstrated understanding of data structures, algorithms, and software design principles. Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering. Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837017711", "isPrivate": false}, {"id": 1970324837005181, "name": "Member of Technical Staff, Platform Engineering Manager", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760392232, "t_create": 1737482605, "ats_job_id": 1970324837005181, "display_job_id": 1970324837005181, "type": "ATS", "id_locale": "1970324837005181-en", "job_description": "Build secure and performant AI Platform services that power Copilot. Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 8+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. 8+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years people management experience. Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005181", "isPrivate": false}, {"id": 1970324837085943, "name": "Member of Technical Staff - Site Reliability Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761098885, "t_create": 1758896599, "ats_job_id": 1970324837085943, "display_job_id": 1970324837085943, "type": "ATS", "id_locale": "1970324837085943-en", "job_description": "Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems. Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra. Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking). Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments. Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements. Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments. Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows. 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles. Strong proficiency in Kubernetes, Docker, and container orchestration. Knowledge of CI/CD pipelines for Inference and ML model deployment. Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code. Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.). Strong programming/scripting skills in Python, Go, or Bash. Solid knowledge of distributed systems, networking, and storage. Experience running large-scale GPU clusters for ML/AI workloads (preferred). Familiarity with ML training/inference pipelines. Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators). Background in capacity planning & cost optimization for GPU-heavy environments. Work on cutting-edge infrastructure that powers the future of Generative AI. Collaborate with world-class researchers and engineers. Impact millions of users through reliable and responsible AI deployments. Competitive compensation, equity options, and comprehensive benefits.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837085943", "isPrivate": false}, {"id": 1970324837030422, "name": "MTS - Data Engineering  ", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761101132, "t_create": 1755037625, "ats_job_id": 1970324837030422, "display_job_id": 1970324837030422, "type": "ATS", "id_locale": "1970324837030422-en", "job_description": "Data engineers who have built and scaled data systems that others depend on, who take pride in delivering rock-solid data quality, and who genuinely enjoy the craft of data engineering. If you're the type of person who celebrates when your monitoring dashboards show all green and gets energized by the challenge of making data flow seamlessly across complex systems, this role is for you. Join us to architect and implement the data backbone that powers Copilot for millions of users worldwide. You'll own the full data lifecycle - from building lightning-fast ETL pipelines that handle massive scale to crafting experimentation frameworks that drive product decisions. We need someone who thrives on solving complex data challenges, loves collaborating with brilliant teammates, and gets genuinely excited about building infrastructure that just works. In our fast-paced environment, you'll have the freedom to innovate and the support to build world-class data products that make a real impact. By applying to this position, you are required to be local to the San Francisco area or Redmond area and in office 3 days a week. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This expectation is subject to local law and may vary by jurisdiction. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Experience building and maintaining production data pipelines at scale using technologies such as Apache Spark, Kafka, or similar distributed processing frameworks. Experience writing production-quality Python, Scala, or Java code for data processing applications. Experience building and scaling experimentation frameworks. Experience with cloud data platforms (Azure, AWS, or GCP) and their data services. Experience with schema management and data governance practices. Experience with real-time data processing and streaming architectures. Experience with data orchestration frameworks such as Airflow, Prefect, Dagster or similar workflow management systems. Experience with containerization technologies (Docker, Kubernetes) for data pipeline deployment. Demonstrated experience with data quality frameworks and monitoring solutions. Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations. Design and maintain high throughput, low latency experimentation reporting pipelines that enable data scientists and product teams to measure model performance and user engagement. Own data quality initiatives including monitoring, alerting, validation, and remediation processes to ensure data integrity across all downstream systems. Implement robust schema management solutions that enable quick and seamless schema evolution without disrupting downstream consumers. Develop and maintain data infrastructure that supports real-time and batch processing requirements for machine learning model training and inference. Collaborate with ML engineers and data scientists to optimize data access patterns and improve pipeline performance for model evaluation workflows. Design scalable data architectures that can handle growing data volumes and evolving business requirements. Implement comprehensive monitoring and observability solutions for data pipelines, including SLA tracking and automated alerting. Partner with cross-functional teams to understand data requirements and translate them into efficient technical solutions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030422", "isPrivate": false}, {"id": 1970324837113464, "name": "Member of Technical Staff, Android Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761009548, "t_create": 1759854193, "ats_job_id": 1970324837113464, "display_job_id": 1970324837113464, "type": "ATS", "id_locale": "1970324837113464-en", "job_description": "Overview Microsoft AI is looking for a talented Android engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We\u2019re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Native Engineering team is responsible for leading and building the core experience of Copilot on iOS and Android, while collaborating with our Product Management, Design and AI Research teams.Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Care deeply about building outstanding consumer-grade mobile applications. Build consumer grade applications for Android. Ship high-quality, well-tested, secure, and maintainable code.\u00a0 Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle. Embody our\u202f Culture\u202f and\u202f Values . Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing mobile applications for Android platforms with coding in languages including, but not limited to, Kotlin, or Java OR equivalent experience. Working knowledge of mobile application architecture, design patterns, and UI/UX principles. Preferred Qualifications Contributions to open-source projects.\u00a0 Experience building Android applications from scratch. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113464", "isPrivate": false}, {"id": 1970324837113462, "name": "MTS, Copilot Prompt Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761010077, "t_create": 1759852471, "ats_job_id": 1970324837113462, "display_job_id": 1970324837113462, "type": "ATS", "id_locale": "1970324837113462-en", "job_description": "Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes A novel prompting discovery: a really interesting challenge that you've solved in a creative way Scaled implementation: you've shipping prompted systems that work reliably at production scale with diverse user populations Evaluation design: you've built robust testing frameworks to measure AI behavior against goals User-centric approach: Proven understanding of how prompting decisions impact the lived experience of people who interact with AI Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences Comfort with ambiguity in an exponentially growing space Bachelor's Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years of experience with large language models. An understanding of conversation design or product design. Familiarity with both quantitative metrics and qualitative assessment methods. Experience with personalization systems that adapt to individual user needs. Adversarial prompting experience or conducted some unhinged experiments. Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113462", "isPrivate": false}, {"id": 1970324837018427, "name": "Member of Technical Staff - Copilot AI Web Engineering Manager", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761071994, "t_create": 1751056107, "ats_job_id": 1970324837018427, "display_job_id": 1970324837018427, "type": "ATS", "id_locale": "1970324837018427-en", "job_description": "In this role, you will: Hire, manage and lead a team of web engineers responsible for the quality and performance of Copilot's web products Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world Design and build a performant front-end infrastructure that drives multiple complex web applications Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with web technologies including, but not limited to, Typescript and React 3+ years people management experience. Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React OR equivalent experience. 6+ years people management experience. Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off. Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture. Have strong opinions about best investments to make in establishing the most delightful and performant web engineering system.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018427", "isPrivate": false}, {"id": 1970324837140210, "name": "Member of Technical Staff, Client Engineer - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761248524, "t_create": 1761247930, "ats_job_id": 1970324837140210, "display_job_id": 1970324837140210, "type": "ATS", "id_locale": "1970324837140210-en", "job_description": "Overview Microsoft AI (MAI) is seeking experienced client engineers to help build the next wave of capabilities for Copilot. We\u2019re looking for  someone  who possesses technical prowess, a methodical approach to problem-solving and proficiency in client technologies. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Windows Copilot team is responsible for creating experiences that demonstrate the power Copilot can bring to Windows, large screens and productivity scenarios. In this role you will play a critical role in designing, developing, and implementing cutting-edge solutions while collaborating with Platform, Product Management, Design and Research teams.\u00a0\u00a0\u00a0 Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team\u00a0is responsible for\u00a0Copilot, Bing, Edge, and generative AI research.\u00a0Come be\u00a0a part of the team shaping the future personal computing.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area in office 3 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Design and develop client applications and components to support Copilot experiences. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Overcome obstacles to deliver work quickly and iteratively to users Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values .\u00a0 Qualifications Required Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML\u00a0 OR equivalent experience.\u00a0 Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment\u00a0 4+ years' experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement.\u00a0 Preferred Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, Kotlin, Swift OR equivalent experience.\u00a0\u00a0 Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc.\u00a0 Experience working with AI platforms, frameworks, and APIs.\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.\u00a0 Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.\u00a0 Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders.\u00a0 Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines, while collaborating and contributing to a positive, inclusive work environment that fosters knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. 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Our vision is bold and broad \u2014\u202fto build systems that have true artificial intelligence\u202facross agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 Microsoft AI (MAI) is seeking experienced Platform Engineers to help build the next wave of capabilities of our personal AI, Copilot. We\u2019re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in backend technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Platform Engineering team is responsible for building APIs that support our work in finetuning and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research teams.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area and in office 3 days a week \ufeffStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java\u00a0 OR equivalent experience.\u00a0 6+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.\u00a0 6+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.\u00a0\u00a0 Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.\u00a0\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Responsibilities Build secure and performant AI Platform services that power Copilot.\u00a0 Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values . 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