About The Position

As a Senior Software Engineer in Apple AI and Data Governance, you will design and implement solutions that support the ethical, secure, and compliant use of data assets and AI systems. You will build and maintain frameworks that uphold the integrity, privacy, and security of Apple's AI initiatives while addressing regulatory requirements. You will lead a multidisciplinary team of software engineers in architecting next-generation AI and data governance platforms. You will drive development of scalable systems for managing the machine learning lifecycle and help ensure Apple's AI initiatives are grounded in data governance principles and meet high standards for privacy, compliance, and security.

Requirements

  • 8+ years of experience developing Data & AI governance software or integrating systems with governance systems.
  • Experience working with large data collection and processing systems.
  • Demonstrated proficiency in data management and building scalable systems that underpin AI applications.
  • Strong understanding of privacy and regulatory requirements, such as GDPR, CCPA, and DMA, and their application to Data Governance and AI systems.
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Nice To Haves

  • Ability to work effectively with diverse teams, including security, legal, privacy, compliance, and data engineering, to drive Data and AI governance initiatives.
  • Experience designing and implementing data governance frameworks, policies, and standards that support ethical and secure deployment of AI technologies.
  • Track record of identifying and mitigating risks in complex distributed data environments, with a focus on compliance in AI-driven projects.

Responsibilities

  • Design and implement solutions for ethical, secure, and compliant use of data assets and AI systems.
  • Build and maintain frameworks that uphold the integrity, privacy, and security of AI initiatives.
  • Lead a multidisciplinary team of software engineers in architecting AI and data governance platforms.
  • Drive development of scalable systems that manage the machine learning lifecycle.
  • Support AI initiatives with strong data governance principles and privacy, compliance, and security safeguards.
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