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About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
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As a Principal Software Engineer at Microsoft Foundry, Core AI, you will lead the development and evolution of platforms that enable intelligent agents and generative AI systems, focusing on large-scale system integration with cutting-edge AI technologies. Your responsibilities include driving technical direction across the software lifecycle, ensuring quality, reliability, and compliance while mentoring engineers and influencing design decisions. You will collaborate closely with partner teams to ensure seamless integration and robust deployment frameworks, championing automation and secure-by-design practices. Key skills required are expertise in AI-native development, coding standards, test strategies, and engineering excellence, with a focus on scalable architectures and operational efficiency. This role demands deep understanding of Responsible AI practices and the ability to guide complex technical projects from conception to delivery, impacting how enterprises interact with intelligent systems at scale.
Drives technical direction and architectural decisions for large-scale AI systems.
Improves AI tools and practices across the software development lifecycle.
Leads code reviews, ensuring high-quality, secure, and performant code.
Establishes best practices in testing strategies to ensure solution quality.
Oversees system architecture design, evaluating complex design options and recommending optimal solutions.
Champions automation, operational excellence, and secure-by-design practices for AI systems.
What we're looking for
Extensive experience leading technical direction and architectural decisions for large-scale, complex AI systems.
Proven track record in driving engineering excellence through rigorous code reviews, mentoring, and fostering a culture of continuous learning.
Deep expertise in designing scalable, secure, and reliable software architectures that meet high standards of quality and compliance.
Strong background in implementing automation, operational excellence, and security-by-design practices for AI systems at scale.
Demonstrated ability to mentor engineers, influence technical decisions without direct authority, and raise the engineering bar through strong design principles.
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Change management proven practices