Lead AI/ML Engineer, GenAI & Agentic Systems

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $201,300–$367,400 / yr
Posted: 60 days ago
Nearby: 99+ roles within 25 mi

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

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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 integrating generative AI into large-scale cloud infrastructure to enhance operational efficiency. Your daily tasks include designing and deploying intelligent automation pipelines, developing AI-assisted workflows for capacity planning and anomaly detection, and partnering with cross-functional teams to identify and implement high-impact solutions. You will work extensively with technologies such as Claude, LLM orchestration frameworks, and skills-based execution models to improve engineering productivity and infrastructure decision-making. Essential skills include hands-on experience with GenAI technologies, strong software development in Python or Java, and a deep understanding of cloud infrastructure operations and observability principles. This role addresses critical business challenges by optimizing resource efficiency and operational workflows at hyperscale, directly influencing the financial and operational success of Apple’s private cloud environment.

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 execution models.
Develop AI-assisted workflows for capacity planning, anomaly detection, and forecasting.
Partner with SRE, infrastructure engineering teams to identify and deploy scalable AI solutions.
Create safe agent workflows with strong observability and human-in-the-loop validation.
Improve engineering decision-making by integrating LLM reasoning with operational context.
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 or large-scale cloud services environments
Proven experience designing and leading production GenAI and ML platform systems
Hands-on expertise with LLM application architecture and agentic workflows
Demonstrated technical leadership across teams, including mentoring and driving adoption of shared practices
Strong understanding of cloud infrastructure operations, observability, and deployment safety principles
Ability to translate operational challenges into practical engineering solutions with measurable impact

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