Senior iCloud Efficiency Engineer (GenAI & Agentic Systems)

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$212,000–$386,300 / yr
Posted
34 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $299k
$132k most similar roles pay here $414k

This role pays more than 97% of similar roles. Most pay $161,750–$235,750 — the shaded band above. At the midpoint, this role pays about $299k versus about $199k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Senior iCloud Efficiency Engineer (GenAI & Agentic Systems)

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As a Senior iCloud Efficiency Engineer focused on GenAI and agentic systems at Apple’s iCloud services organization, you will lead the technical direction for streamlining AI efforts across the company by establishing reusable patterns and defining production standards. Your daily work involves designing and deploying intelligent automation pipelines using technologies like Claude and LLM orchestration frameworks to improve engineering workflows and infrastructure decision-making. You will collaborate with data science, SRE, and finance teams to identify high-value efficiency opportunities and convert them into scalable AI solutions that enhance operational safety and reliability. Essential skills include hands-on experience with GenAI technologies, strong software development in Python or Java, and a deep understanding of cloud infrastructure operations. This role impacts the operational and financial efficiency of one of the world’s largest private cloud environments supporting iCloud services.

Skills

Python Java LLM Claude GenAI ML Infrastructure Automation Cloud Infrastructure Operations Observability Deployment Systems Operational Safety SRE CI/CD Kubernetes Terraform AWS GCP Azure Prometheus Grafana Docker

What you'll do

  • Design and implement GenAI-powered solutions to enhance iCloud services efficiency.
  • Build agentic systems using Claude, LLM frameworks, and skills-based models.
  • Develop AI-assisted workflows for capacity planning, anomaly detection, and forecasting.
  • Partner with SRE, infrastructure teams, and finance to identify and solve efficiency issues.
  • Create safe and observable agent workflows with human-in-the-loop validation controls.
  • Improve engineering decision-making by integrating LLM reasoning with operational data.
  • Drive adoption of AI-first practices that reduce toil and optimize cost structures.

What we're looking for

  • 5+ years of experience in software engineering, infrastructure engineering, or large-scale cloud services environments
  • Proven experience designing and leading production GenAI systems including LLM application architecture
  • Hands-on expertise with agentic workflows, evaluation frameworks, observability, and failure handling
  • Demonstrated technical leadership across teams, influencing roadmaps and driving adoption of shared practices
  • Strong software development skills in Python or Java and understanding of cloud infrastructure operations
  • Ability to translate operational challenges into practical engineering solutions with measurable business impact

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