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At Equinix - Remote / Flexible

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Principal Software Engineer, AI Infrastructure

At Equinix - Remote / Flexible

Posted on Oct 16

View job Apply on company site

Principal Software Engineer, AI Infrastructure

At Equinix - Remote / Flexible

Posted on Oct 16

View job Apply on company site

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Apple

Principal AI & Data Governance Architect

Cupertino, CA$184,700 – $324,800Posted 20 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. We are building the machine learning lifecycle platform that powers generative AI features across Apple Services - from Music and TV+ to iCloud, App Store, and Sports. As these systems grow in scale and complexity, building them responsibly is as important as building them well.

Description

We are looking for a AI & Data Governance Architect who can define and drive the governance and compliance architecture for our AI and ML platform - holistically, not piecemeal. This is not a role about enforcing rules from the sidelines. It is about getting deep into how data flows, how models are built, how systems interconnect, and designing the platform capabilities that ensure Apple meets its legal, regulatory, and ethical obligations at every layer. You will be the person who understands both the compliance landscape and the engineering reality - and who builds the bridge between them.

","responsibilities":"In this role, you will:

Architect end-to-end AI & Data governance frameworks - design the structures, policies, and technical controls that govern data classification, data lineage, model provenance, access management, and audit trails across the ML lifecycle - from raw data ingestion to model deployment and monitoring.

Own the compliance architecture - translate requirements from legal, privacy, and regulatory stakeholders into durable, scalable technical solutions. Understand not just what is required, but how it maps to systems, pipelines, and data assets - and design accordingly.

Connect compliance, legal, and engineering - serve as the authoritative bridge between legal counsel, privacy teams, data engineering, ML infrastructure, and ML researchers. Ensure that compliance requirements are understood in technical terms and that engineering decisions are grounded in regulatory reality.

Define data classification at scale - lead the strategy and architecture for classifying, cataloging, and governing the data assets that fuel Apple's AI and ML systems, including sensitive, regulated, and proprietary data across a diverse portfolio of use cases.

Navigate the regulatory landscape - have deep fluency in the legal and regulatory requirements relevant to AI/ML systems - data residency, retention, auditability, fairness, and emerging AI-specific regulation - and ensure our platform architecture is positioned to meet obligations as they evolve.

Establish governance as a cross-cutting platform capability - partner with data and AI & ML infrastructure teams to embed governance controls natively into the platform, making compliance the path of least resistance for ML researchers and engineers rather than a burden layered on top.

Drive policy into practice - develop the standards, playbooks, and architectural patterns that engineering teams across Apple Services can adopt consistently, ensuring governance is applied uniformly at scale.

Advise senior stakeholders - synthesize governance risk, compliance gaps, and architectural trade-offs into clear, well-reasoned positions for technical and executive audiences. Be the voice that keeps leadership informed and aligned on where the risks are and how they are being addressed.

Preferred Qualifications

Familiarity with AI/ML regulatory frameworks and emerging legislation (e.g., EU AI Act, GDPR, CCPA, data residency requirements).

Experience designing or implementing data classification systems, data catalogs, or model registries in a production ML environment.

Experience building governance frameworks for internal developer platforms or MLOps tooling.

Comfortable presenting complex compliance and architectural topics to senior and executive engineering and legal audiences.

Bachelor's degree in Computer Science or similar degree. Master's degree preferred.

Minimum Qualifications

Deep experience in data governance, ML governance, or compliance architecture within complex, large-scale technical environments.

Deep understanding of ML workflows, data engineering, and ML infrastructure - drive and provide feedback in design and architectural discussions.

Proven track record of working cross-functionally with legal, privacy, compliance, and engineering teams to define and implement governance solutions.

Demonstrated ability to refine legal and regulatory requirements into technical architecture and engineering deliverables.

Fluent in both legal and engineering languages - able to take prescriptive or loosely defined compliance obligations and translate them into precise technical requirements without losing the spirit of the original intent.

Experience engaging upstream with legal and policy stakeholders to shape policy guidance, ensuring that it is technically coherent.

Exceptional ability to operate in ambiguity - connecting requirements that don't come pre-connected, and driving clarity across organizations with different vocabularies and priorities.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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