Lead AI/ML Engineer, GenAI & Agentic Systems

Apple Inc

Quick summary

Work type
On-site
Location
Culver City, CA
Salary
$201,300–$367,400 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $284k
$148k most similar roles pay here $391k

This role pays more than 92% of similar roles. Most pay $179,850–$246,150 — the shaded band above. At the midpoint, this role pays about $284k versus about $213k 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 1848 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1512 roles with salary data.

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At a glance

TL;DR · Lead AI/ML Engineer, GenAI & Agentic Systems

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 integrating generative AI into large-scale cloud infrastructure to enhance operational efficiency. Your daily tasks include designing and deploying intelligent automation frameworks, developing AI-assisted workflows for capacity planning and anomaly detection, and partnering with cross-functional teams like SRE and data engineering to implement scalable AI solutions. You will leverage technologies such as Claude, LLM orchestration frameworks, and skills-based execution models to create reliable agentic systems that improve infrastructure decision-making and reduce operational toil. This role requires expertise in Python or Java, hands-on experience with GenAI technologies, and a strong background in cloud infrastructure operations and observability. Your work will significantly impact the efficiency of Apple’s private cloud environment supporting iCloud and other critical services.

What you'll do

  • Design and implement GenAI-powered solutions to enhance iCloud services efficiency.
  • Build agentic systems using Claude, LLM frameworks, skills-based models, and automation pipelines.
  • Develop AI-assisted workflows for capacity planning, anomaly detection, forecasting, and deployment validation.
  • Partner with SRE, infrastructure engineering teams to identify and convert high-value efficiency opportunities into scalable AI solutions.
  • Create safe agent workflows with strong observability, guardrails, human-in-the-loop validation, and operational controls.

What we're looking for

  • 5+ years of experience in software engineering or large-scale cloud services environments
  • Proven experience designing and leading production GenAI, ML platform, or tooling systems
  • Hands-on expertise with LLM application architecture and agentic workflows
  • Demonstrated technical leadership across teams and influence on shared practices
  • Strong understanding of cloud infrastructure operations and observability principles
  • Ability to translate operational challenges into practical engineering solutions with measurable impact

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