Microsoft AI is seeking engineers to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems, data pipelines and APIs that power adaptive, context-aware experiences across Microsoft AI, aiming to make Copilot feel personalized while preserving privacy, security, performance, and scale.
Requirements
- 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 6+ years' experience building scalable services on top of cloud infrastructure like Azure, AWS, or GCP.
- 4+ years experience of OSS data technology, such as Kafka, Spark, Flink.
- Experience with large scale data systems.
- Experience working with AI platforms, frameworks, and APIs.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
Responsibilities
- Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
- Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data.
- Own orchestration, monitoring, and DevOps for critical data workflows.
- 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.
- Optimize for performance, reliability, and cost across diverse workloads and geographies.
- Ship high-quality, well-tested, secure, and maintainable code.
Other
- Work site: 4 days / week in-office
- Travel: 0-25%
- Methodical approach to problem-solving
- Ability to architect solutions that stand the test of time.
- Hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment.
