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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 Platform Engineers to help shape the next wave of capabilities for our personal AI, Copilot. This role involves building user-facing features powered by Generative AI at the core of the Copilot experience, taking full ownership of their development from inception through delivery. We collaborate closely with cross-functional engineering, product management, design, and AI research teams. Operating within a fast-paced, innovative environment, our focus is on creating software systems that effectively bring cutting-edge AI research to production-ready consumer experiences. 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Responsibilities Design, develop, and maintain performant and secure AI Platform services that power Copilot.\u00a0 Work collaboratively with platform, infrastructure, application engineers, and AI Researchers to build next generation AI products and services.\u00a0 Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.\u00a0 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.\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 2+ years\u00a0technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 OR equivalent experience.\u00a0 Experience leveraging generative AI technologies to develop innovative and user-focused product features.\u00a0 4+ years' experience building\u202fAPIs, platforms, and pipelines for large-scale products.\u00a0 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. 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Preferred Qualifications: Experience working with AI platforms, frameworks, and APIs.\u00a0 Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.\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.\u00a0 Ability to clearly communicate 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.\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 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