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Senior Software Engineer, AI Data Platform (CoreAI)

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted April 01, 2026
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Job Description

Join Microsoft’s CoreAI – AI Platform team in Bay Area/Redmond to build the AI Data Platform, the foundation for secure, scalable, reusable datasets that power model development. We seek Software Engineers passionate about large-scale data infrastructure, automation tools, and intelligence services to transform how Microsoft collects, generates, manages, and shares AI training data. Our mission is to build a central AI data platform that breaks down Microsoft’s data silos and manages the full lifecycle of first-party, third-party, synthetic, and human-labeled data, accelerating AI model development with secure, reusable, and compliant datasets.

Job Responsibility

  • Design and build scalable data pipelines and services to automate the dataset lifecycle (ingestion, registration, validation, PII handling, discovery, sharing, lineage), including intelligent agent-driven automation for key stages
  • Develop secure and reliable infrastructure for data access, entitlement management, and operational support across global time zones
  • Implement governance and compliance tooling to ensure data integrity, auditability, and adherence to regulatory standards
  • Create user-facing tools and APIs that make datasets easily discoverable and reusable
  • Contribute to strategic extensions such as continuous feedback loops, human-in-the-loop workflows, and data intelligence services for internal and external stakeholders
  • Collaborate with cross-org partners to align priorities and deliver company-wide impact

Requirements

  • 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
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Nice to have

  • M.S. or Ph.D. in Computer Science, Engineering, or related field OR equivalent practical experience
  • 4+ years of experience in software engineering
  • Proficiency in 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
  • 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, and LLM-based synthetic data generation for training, reward modeling and agents
  • Strong problem-solving, communication, and collaboration skills

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