AI Architect
The Virtualized Infrastructure & Service Delivery (VISD) organization delivers amazing, low-friction infrastructure that is loved by customers. The team is responsible for building, deploying, and maintaining foundational platforms inside our Apple data centers, including compute with virtualized instances, disaggregated block storage, object storage, and containerization platforms like Kubernetes. VISD also owns the operational aspects of our infrastructure including fleet management, capacity management, quality of service, and live streaming operations.
Description
Join Apple's VISD team as a Senior AI Architect, where you'll be at the forefront of delivering transformative AI infrastructure & AI in infrastructure. You will play a pivotal role in defining and driving the roadmap for Apple Data Center Platforms and Infrastructure. This will include building foundational capabilities such as 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.","responsibilities":"Innovate, research, diagnose, optimize, or prototype features and solutions for key business initiatives
Provide technical advice to management
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Define and drive the technical vision, roadmap, and strategy for Apple Data Platform's GenAI offerings
Inspire teams to innovate, invent, and implement scalable solutions for complex data problems
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
Preferred Qualifications
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
Minimum Qualifications
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
Understanding of gen AI landscape, and large language models (LLMs) and their applications, including inferencing, embedding, RAG, and knowledge base integration
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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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