Senior GenAI Engineer, Apple Cloud AI
Listed on 2026-10-22
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer, Software Architect
Cupertino, California, United States Software and Services
The Apple Cloud AI team powers data and AI capabilities that fuel Music, TV, App Store, Maps, iCloud and many other beloved products in the Apple ecosystem. Our mission is to provide engineers and data scientists with an innovative, reliable, secure, and user-friendly platform for Agentic and Generative AI development and deployment a Senior GenAI Engineer on the Apple Cloud AI group’s Agent Platform team, you’ll play a critical role in shaping and scaling the platform that powers AI application development across Apple.
You’ll architect and build core capabilities such as agentic harness, agent orchestration, model selection, building services for agent context and knowledge management, and evaluation tooling enabling teams to rapidly create, iterate, and deploy GenAI applications. Your work will also support advanced initiatives like multi-agentic systems, long horizon agents, model fine-tuning and reinforcement learning workflows, and inference optimization, driving a seamless and flexible developer experience for users of Apple Cloud AI.
Join us and be a part of the Data and AI Platform journey at Apple, where your contributions will impact Apple's customers and countless teams within Apple.
Join Apple’s Cloud AI as a Senior GenAI Engineer, where you'll be at the forefront of delivering transformative AI experiences across Apple products, including Apple Music, TV, Sports and many more. You will play a pivotal role in defining and driving the roadmap for Apple Cloud GenAI and Agentic Platform component, which powers the development, evaluation, and deployment of AI agents and applications.
This includes building foundational capabilities such as agent orchestration, model configuration, prompt tooling, RAG integration, and inference optimization enabling teams across Apple to rapidly create scalable, context-aware GenAI solutions. You will collaborate closely with cross-functional teams of innovative software engineers, product managers, and engineering leaders to continuously evolve the platform for performance, flexibility, and ease of use.
- Design and development of platform capabilities such as agent orchestration, agentic RAG, LLM model configuration, prompt optimization tooling, and fine-tuning and RL pipelines that meet the highest standard in security and safety
- Drive efforts around LLM and Agent optimization, including caching, prompt tuning, and latency improvements, ensuring efficient and cost-effective model usage across agentic systems
- Define and drive the technical roadmap, and strategy for Apple Cloud AI GenAI components, enabling scalable and secure development and deployment of agentic systems and harnesses
- Collaborate with engineering, product, and operations teams across Apple to ensure effective adoption of GenAI capabilities in high-impact workflows
- Partner with stakeholders to build reusable AI agents that enhance productivity, automate reasoning tasks, and integrate securely with internal systems and tools
- Mentor new hires and fellow engineers, fostering growth in technical depth and platform mindset
- Establish best practices and processes that ensure engineering excellence, operational sustainability, and a seamless developer experience
- Promote a healthy, inclusive, and innovation-driven team culture with a focus on experimentation, learning, and long-term platform impact
- 4+ years of machine learning and software development experience
- 1+ years of experience as a technical lead, guiding teams through complex design decisions and setting high benchmarks for code quality, performance, and scalability
- Hands-on experience designing and building GenAI platforms…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).