Join Apples Data Platform as a Senior AI Architect where youll 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 Data Platforms GenAI 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 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.
15 years of software development experience in distributed systems and/or ML/AI
8 years of experience as an Architect guiding teams through complex design decisions and setting high benchmarks for code quality performance and scalability
In-depth understanding of gen AI landscape and large language models (LLMs) and their applications including inferencing embedding RAG and knowledge base integration
Experience building AI agents capable of complex multi-step reasoning and tool usage with a focus on reliability traceability and composability
Strong programming skills in Python Java or similar languages with an emphasis on AI/ML systems development and platform engineering
Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking
Passion for operational excellence automation and delivering scalable developer-friendly AI infrastructure
B.S M.S. or PhD Degree in Computer Science/Engineering or equivalent work experience
Bonus if you have experience in the following areas:
Expertise in AWS Cloud
Experience in fine-tuning and customizing foundation models to improve task-specific performance and domain alignment
Hands on experience in using Kubernetes as orchestration layer
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