Drimva

Apple

Principal AI & Data Governance Architect

$185K–$325K

Cupertino, California · Principal · Full-time · Posted Oct 16, 2026

Experience
Deep experience requested; no number of years specified.
Education
Bachelor’s degree in Computer Science or similar degree; Master’s degree preferred.

About the job

Architect and drive governance and compliance capabilities across Apple Services’ AI/ML platform, translating legal and regulatory obligations into technical controls and standards.

What you'll do

  • Design end-to-end governance frameworks covering data classification, lineage, model provenance, access management, and audit trails across the ML lifecycle.
  • Translate legal, privacy, and regulatory requirements into scalable platform architecture and partner with legal, privacy, data, and ML teams to implement it.
  • Develop governance standards and architectural patterns, guide stakeholders on risks and trade-offs, and embed controls into AI/ML infrastructure.

What they ask for

  • Deep experience in data governance, ML governance, or compliance architecture in complex, large-scale technical environments.
  • Deep understanding of ML workflows, data engineering, and ML infrastructure.
  • Track record of working cross-functionally with legal, privacy, compliance, and engineering teams to implement governance solutions.
  • Ability to translate legal and regulatory requirements into technical architecture and engineering deliverables.

Nice to have

  • Familiarity with AI/ML regulatory frameworks and legislation such as EU AI Act, GDPR, and CCPA.
  • Experience designing data classification systems, data catalogs, model registries, or governance frameworks for developer platforms or MLOps tooling.

Pay

USD $184,700 to $324,800 base salary

Tools

ML infrastructure, data engineering, data catalogs, model registries, MLOps tooling

AI focus

Governance and compliance architecture for AI/ML systems, including data and model controls across the ML lifecycle.

Model-written summary · the original posting is authoritative

First seen Oct 17, 2026 · Last verified Nov 5, 2026 (UTC)