<p>Apple's App Store is the world's largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. Our team enables data-driven innovation for internal and external partners, while maintaining data quality, privacy, and engineering excellence as first-class citizens. We're looking for a highly skilled hands-on Principal AI Architect with strong software development skills and a passion for applying LLMs and Agentic workflows to real-world business problems.</p> <p>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.</p> <p>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.</p> <p>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 LangChain, LangGraph, 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.</p>