About the job
As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold — to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale.
Responsibilities
Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
Design data models and APIs that enable Copilot to reason about user context, preferences, and history
Build real-time and batch personalization engines that adapt Copilot’s behavior.
Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
Optimize for performance, reliability, and cost across diverse workloads and geographies.
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.
Qualifications
Minimum
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, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred
4+ years' experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
3+ years' experience in OSS data technology, such as Kafka, Spark, Flink.
Experience with large scale data systems
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.
Demonstrated interpersonal skills and 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 web, data systems 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.