Microsoft Principal Software Engineer AI Data Platform CoreAI 

Taiwan, Taoyuan City 

935390352

datasets that power model

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

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+ years of experience in software engineering with a focus on distributed systems, large-scale data platforms, or cloud infrastructure.
• Experience leading design and delivery of complex, scalable systems.
• Proficiencyin one or more programming languages (e.g., C#, Java, Python).
• Experience with cloud services (Azure, AWS, or GCP), container orchestration (Kubernetes), and big data frameworks (e.g., Spark, Databricks).

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

• in data lifecycle management (ingestion, validation, discovery, governance).

• Experience with PII detection/handling, compliance, and secure data management.

• Familiarity with AI/ML workflows, training data pipelines, or synthetic data generation.

• Strong cross-org collaboration skills and ability to influence at scale.

• Experience mentoring teams and setting technical direction.

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

Responsibilities:

• eadthe design and development of large-scale data infrastructure and intelligent services that transform how Microsoft collects, manages, and shares data for AI.
• Shape the platform’s technical direction , drive architectural decisions, and partner with leaders across Microsoft to maximize impact.
• Own the technical vision and architecturefor scalable, secure, and reusable AI data infrastructure.
• Design and lead development of intelligent agent-driven servicesto automate the dataset lifecycle (ingestion, registration, validation, PII handling, discovery, governance, lineage, feedback).
• Build user-facing tools and APIsthat make datasets easily discoverable and reusable across Microsoft’s AI teams.
• Ensure platform security, compliance, and operational excellence, including entitlement management, capacity planning, and escalation support.
• Collaborate with applied scientiststo integrate ML-driven methods (synthetic data, evaluation, human-in-the-loop workflows) into production pipelines.
• Mentor engineers, setting best practices in distributed systems, reliability, and large-scale data platform development.
• Influence cross-org strategy