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
- 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 2+ years' experience building data solutions with OSS data technology, such as Kafka, Spark, Flink.
- 2+ years' experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
- 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.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
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.
- 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.
Other
- 4 days / week in-office
- 0-25% Travel
- Individual Contributor
- Full-Time
- 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.
- Judgment to make the right risk vs velocity and value decisions.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- 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.
