Microsoft Senior Software Engineer AI Data Platform CoreAI 

Taiwan, Taoyuan City 

929224248

datasets that power model

is to build aAI modelwith secure, reusable, and compliant datasets.

sible for

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of experience in software engineering.
• Proficiencyin one or more programming languages (e.g., C#, Java, Python).
• Experience with distributed systems, cloud services (Azure, AWS, or GCP), or large-scale data pipelines.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications

• M.S. or Ph.D.in Computer Science, Engineering, or related field OR equivalent practical experience.

• 4+ years of experience in software engineering.

• Experience with data lifecycle management (e.g., ingestion, validation, discovery, governance).

• Knowledge of privacy, compliance, and security practices in large-scale data platforms.

• Familiarity with AI/ML workflows, training data preparation,andLLM-basedsynthetic data generationfor training,rewardmodelingand agents.

• Strong problem-solving, communication, and collaboration skills

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Design and build scalable data pipelines and servicesto automate the dataset lifecycle (ingestion, registration, validation, PIIhandling, discovery, sharing, lineage), including intelligent agent-driven automation for key stages.

• Develop secure and reliable infrastructurefor data access, entitlement management, and operational support across global time zones.

• Implement governance and compliance toolingto ensure data integrity, auditability, and adherence to regulatory standards.

• Create user-facing tools and APIsthat make datasets easily discoverable and reusable.

• Contribute to strategic extensionssuch as continuous feedback loops, human-in-the-loop workflows, and data intelligence services for internal and external stakeholders.

• (CoreAI, MAI, M365, GitHub, MSR, OCTO, and more