About the role

What will you do at Apple?

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.

DESCRIPTION

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.
MINIMUM QUALIFICATIONS
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.
PREFERRED QUALIFICATIONS
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.

Which skills does this role require?

LLMsAgentic WorkflowsSoftware DevelopmentPrompt EngineeringLangChainLangGraphClaude Agent SDKMCPA2A ProtocolsData EngineeringData AnalyticsDMA/DSAAI ArchitectPrompt InjectionProduction AIScalable SystemsApp StoreSoftware EngineeringMachine LearningPrototyping

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.