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AI is reshaping the world, and security has never mattered more. We’re building a team that moves with clarity, agility, and purpose to help customers adopt AI safely and confidently. We create shared platforms and reusable building blocks and end-to-end protection for AI systems that power Microsoft Defender and deliver Security for AI Everywhere—across agents, models and emerging infrastructure.
Job Responsibility:
Applies AI tools and practices across the software development lifecycle to design, build, test, and deploy high-quality solutions
Leads discussions for the architecture of a solution by testing design hypotheses and developing complex specifications
Writes, reviews, and debugs secure, performant, well-tested, and maintainable code, ensuring strong test coverage and adherence to engineering standards
Defines and executes comprehensive end-to-end execution plans including test strategies, driving automation across build, test, and production deployment pipelines
Collaborates with internal and external stakeholders to manage dependencies, align on goals, and implement security standards across all solution layers
Requirements:
Bachelor's/Master's Degree in Computer Science or related technical field
7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
7+ years of experience building secure, high performant distributed software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices
5+ years of experience designing, building and operating scalable ML systems, including ML infrastructure and pipelines (Azure ML, Kubernetes), model versioning, observability, and secure deployment, with hands‑on experience in MLOps/AIOps/SecDevOps practices
5+ years of experience in building security and compliance solutions and conducting security investigations