Artificial Intelligence Program Manager

End-to-End Program Delivery: Own project schedules, build systematic tracking methods, identify technical risks, and isolate critical path dependencies. • Executive-Level Communication: Distill highly complex AI/ML limitations, metrics, and technical blockers into simple, data-driven progress reports for Apple executives.

Job ID: 100915-1
Job Title: Artificial Intelligence Program Manager
Location: Onsite: Sunnyvale, CA
Duration: 06 months (with possibility of extension)
Pay Range: $60-$64/hr on W2.
 
Note: Must Have Prior Apple Experience and should be local to SFO Bay Area and ready for in-person interview
 
Skills: Program Management & Artificial Intelligence(AI)
Experience Required: 10 & Above
 
Role Descriptions:
• Must Have Prior Apple Experience and should be local to SFO Bay Area and ready for in-person interview
• Below is a breakdown of the responsibilities, required skills, interview structure, and salary expectations for this role.
 
Key Responsibilities
• Lead Foundation Model & AI Programs: Drive the technical roadmap for AI integrations, large language models (LLMs), or specialized computer vision tools across Apple hardware and software.
• Cross-Functional Architecture Alignment: Act as the technical bridge between engineering, hardware, legal, data operations, and privacy compliance teams.
• End-to-End Program Delivery: Own project schedules, build systematic tracking methods, identify technical risks, and isolate critical path dependencies.
• Executive-Level Communication: Distill highly complex AI/ML limitations, metrics, and technical blockers into simple, data-driven progress reports for Apple executives.
• Core Requirements
• AI/ML Technical Depth: Deep understanding of machine learning lifecycles, including data pipelines, training, model evaluation, and deployment.
• System Design Expertise: Ability to challenge engineering assumptions and make system architecture trade-offs.
• Program Management Mastery: Track record of running massive, parallel engineering workflows using Agile/Scrum methodologies.
• Influence Without Authority: Ability to build a strong consensus among engineering groups with competing priorities