GenAI Solutions Architect, Customer Systems

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$181,100–$318,400 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $250k
$129k most similar roles pay here $339k

This role pays more than 85% of similar roles. Most pay $165,412–$235,750 — the shaded band above. At the midpoint, this role pays about $250k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · GenAI Solutions Architect, Customer Systems

As a Senior GenAI Solutions Architect on Apple’s Support Engineering team, you will lead the design and implementation of advanced AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agents. Your role involves selecting appropriate infrastructure, ensuring data security, and guiding engineering teams from concept to production for customer systems across various business groups. You will work closely with cross-functional teams and stakeholders throughout the full lifecycle of development, focusing on automating contact center use cases while addressing other complex business challenges. This position requires strong proficiency in Python or Rust, experience with modern AI SDKs, and the ability to create clear architectural diagrams and technical documentation for non-technical audiences. Ideal candidates have a background in software engineering, data engineering, or solution architecture, with extensive hands-on experience in deploying GenAI solutions in production environments.

What you'll do

  • Design and implement scalable GenAI applications using LLMs, RAG, and Agents.
  • Select appropriate infrastructure to support AI solutions in production environments.
  • Ensure data security throughout the development and deployment of AI systems.
  • Guide engineering teams from proof-of-concept through production for AI projects.
  • Create architectural diagrams and technical documentation for non-technical stakeholders.

What we're looking for

  • 9+ years of experience in software engineering, data engineering, or solution architecture.
  • 2+ years of hands-on experience designing and deploying GenAI solutions using RAG in production.
  • Strong proficiency in Python/Rust and modern AI SDKs.
  • Ability to create architectural diagrams and technical documentation for non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Excellent problem-solving and analytical skills.
  • Strong written and verbal communication skills.

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