Microsoft Principal Engineering Manager - AI Agents 

Taiwan, Taoyuan City 

25698506

Would you like to work on a product thaticrosoft AI technologiesa modern-worksuite to

Azure AIFoundry. As part of thisyou will help build Agent

As aing Managerou willto deliversolutions and end user experiences acrossthe M365 ecosystem.You can learn more about our

Required Qualifications

• Bachelor's degree in computer science, or related technical discipline

• Extensive experiencecodingin one or more high level languagesincluding, but not limited toPython,C

• experience with

Preferred Qualifications

• a strong foundationin cloud-native architecture, microservicesandagentic solutions

• Agent based architectures,frameworksand technologies (such asMCP,A2A protocol,Langchain,AzureAI Foundry)

• in Python for data science workflows,leveraginglibraries such as NumPy, Pandas, scikit-learn, Matplotlib, andJupyterfor data analysis, experimentation, and rapid prototyping

• Experienced in web application development frameworks, such as React

• deliveringaCloudSaaS product onAzure,AWSor GCP

• Experience with Microsoft 365 and Entra ID for identity and access management in enterprise environments

• xcellentcommunication and collaboration skills to work effectively across disciplines

Other Requirements

• to meet Microsoft,customerand/or government security screening requirementsarerequiredfor this role. These requirements include but are not limited to the following specialized security screenings:

• requiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Responsibilities

This role demands a blend ofmanagement skills,artificial intelligencefull-stack development skills to contribute to all phases of our product lifecycle, from conception to deployment.and other parts of thedeliver on theAgent Cloud

• mplementing, evaluating, and deployingAI-powered applications and services

• objectivesand outcomes. Enable success across boundaries.

• withinteamand across teams on producing extensible, maintainable, well-tested, secure, and performant code that adheres to designspecifications.Leadsefforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs.

• Stay current with emerging research, tools, and frameworks in AI/ML to drive innovation.

• identifyingdependencies and incorporating them into the development of design documents for a product, application, service, or platform.

• Conduct experiments, analyze results, and communicate findings to both technical and non-technical stakeholders