Principal AI Architect, App Store Data

Cupertino, California, United States Software and Services

In this role, you will design and ship AI systems that make App Store data useful, safe, and actionable — from agentic workflows that automate analytical tasks, to LLM‑powered data products that surface insights. The ideal candidate is someone who moves fluidly from prototype to production, writes the code they architect, and takes personal ownership of the systems they ship. They combine deep expertise in AI and distributed systems with strong product instincts, excellent communication skills, and genuine curiosity about data analytics workflows, and they know when to use AI and when deterministic logic is the better answer.

This is a high‑leverage role at the intersection of data engineering, AI, product impact and technical leadership.

• Translate business problems and objectives into actionable AI initiatives; identify opportunities where AI can add value and create roadmaps for implementation with clear milestones and dependencies.
• Guide the organization’s AI strategy, technology stack, and framework selection.
• Design production‑grade scalable, secure, and efficient AI systems that reason, plan, and act across tools and modalities for data pipelines and applications.
• Establish enterprise AI reference architectures and reusable components covering data flows, model lifecycle, runtime patterns and integration approaches.
• Monitor emerging trends in AI and conduct proof‑of‑concepts (PoCs) to evaluate new technologies.
• Work closely with engineers and partner teams to build new AI‑enabled data pipelines and applications.
• Evaluate and select the most suitable tools, platforms, and technologies for AI development, considering factors like scalability, cost, and compatibility.
• Continuously assess the performance of AI systems (quality, latency, drift, safety, and business impact).
• Work on problems in an agentic context: distributed state persistence, message consensus between agents (A2A), and handling non‑deterministic failures in long‑running loops, context engineering, agentic memory.
• Ensure AI solutions adhere to security and compliance policies, collaborate with Security, Privacy and Legal teams to apply existing or develop new AI policies, including sensitive data handling.
• Establish and enforce AI governance: architecture review criteria, documentation standards, approval procedures, safety filtering, and human‑in‑the‑loop mechanisms.
• Apply responsible AI principles including bias assessment and explainability where appropriate.
• Define AI engineering standards and best practices; guide engineers on AI use cases, design decisions, risks and trade‑offs.
• Raise the organization’s AI maturity through mentorship, communities of practice, and influence rather than authority.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Proven ability to translate business needs and ideas into scalable, production‑level AI solutions.
• Proven ability to communicate complex technical concepts to non‑technical stakeholders.
• Extensive experience with LLMs and agentic workflows, MCP and A2A protocols, prompt engineering.
• Experience building complex agentic AI systems using Lang Chain, Lang Graph, Claude Agent SDK, or similar AI agent frameworks.
• 12+ years of software engineering experience with 5+ years of experience building and deploying AI/ML solutions in production environments.

• Hands‑on industry experience shipping LLM‑powered products.
• Knowledge of “Prompt Injection”/ Guardrail defense and secure context handling (PII redaction).
• Experience with privacy regulations and compliance obligations (GDPR, CCPA, DMA, DSA) and their impact on AI system design and data architecture.
• Experience in designing scalable, highly available distributed systems which can handle high data volumes.

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…