Lead GenAI & Agentic Infra Engineer

Apple Inc.; San Diego (CA); On-site; USD 205,400 - 374,300; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Participate in employee stock programs

Educational reimbursement

Job summary

Apple Inc. is looking for a Lead AI/ML Engineer in San Diego, California to drive efficiency across the company’s cloud services. This role focuses on utilizing Generative AI and intelligent automation to enhance operational workflows and engineering productivity.

The successful candidate will lead the development of AI systems aimed at improving decision-making and infrastructure efficiency. Ideal candidates should have extensive experience in software and infrastructure engineering, as well as a strong understanding of AI technologies.

Qualifications

• 5+ years of experience in software engineering, infrastructure engineering, or large-scale cloud services environments.
• Proven experience designing and building production GenAI, ML platforms, or tooling systems.
• Strong understanding of cloud infrastructure operations and operational safety principles.

Responsibilities

• Design and implement GenAI-powered solutions to improve infrastructure efficiency.
• Develop AI-assisted workflows for capacity planning and anomaly detection.
• Partner with teams to identify efficiency opportunities and scale AI solutions.

Skills

Software engineering

Machine learning

Infrastructure automation

AI technologies

Python

Java

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field

Tools

GenAI technologies

LLM orchestration frameworks

Job description

Apple Inc. is looking for a Lead AI/ML Engineer in San Diego, California to drive efficiency across the company’s cloud services. This role focuses on utilizing Generative AI and intelligent automation to enhance operational workflows and engineering productivity.

The successful candidate will lead the development of AI systems aimed at improving decision-making and infrastructure efficiency. Ideal candidates should have extensive experience in software and infrastructure engineering, as well as a strong understanding of AI technologies.