Senior Software Engineer, AI Data Platform; CoreAI

Position: Senior Software Engineer, AI Data Platform (CoreAI)
Overview

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.

The Software Engineers in AI Data Platform are responsible for large-scale data infrastructure, automation tools, and intelligence services to transform how Microsoft collects, generates, manages, and shares AI training data.

Responsibilities

• 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.

Qualifications

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.

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.

• Proficiency in one or more programming languages (e.g., C#, Java, Python).
• Experience with distributed systems, cloud services (Azure, AWS, or Google Cloud Platform), 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

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.