AI/ML Architect, Retail and Marcom Engineering

Apple, Inc.; Sunnyvale (CA); On-site; USD 216,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Stock program eligibility

Relocation assistance

Education reimbursement

Employee discounts

Job summary

Apple is seeking an AI/ML Architect for Retail and Marcom Engineering in Sunnyvale, CA. You will shape the technical strategy for AI/ML systems spanning GenAI, Graph RAG, and multi-modal workflows that power Apple's brand experiences for customers worldwide.

You will own end-to-end system design, evaluate build vs. buy options, and guide multiple teams on best practices for scalable, reliable AI platforms. A strong track record in enterprise MLOps and governance is essential.

Qualifications

• 10+ years in software engineering or AI/ML
• 3–4+ years in an architect/leadership role for enterprise AI/ML
• Production experience with GenAI solutions and LLMs
• Experience designing prompt strategies at scale
• Experience with multi-agent systems and orchestration frameworks
• Experience integrating AI with backend systems and APIs

Responsibilities

• Define end-to-end AI/ML architecture across teams
• Architect GenAI pipelines focusing on latency and cost
• Design scalable Conversational AI platforms
• Define AI/ML strategy and roadmap with leadership
• Mentor teams on architectural decisions and standards

Skills

AI/ML system design

GenAI pipelines

LLM architectures

RAG pipelines

Multi-agent orchestration

AIOps & observability

Education

BS in Engineering/CS or equivalent

MS/PhD in related field

Tools

LangChain

LangGraph

AutoGen

Terraform

Docker

Job description

AI/ML Architect, Retail and Marcom Engineering

Sunnyvale, California, United States Software and Services

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apple's products with its customers. The team owns the technology behind both Apple's online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving. Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.

Description

We're seeking a visionary AI/ML Architect to shape the technical strategy behind Apple's globally-led creative marketing team. You will define the architecture for cutting-edge AI/ML solutions, directly influencing how millions of Apple customers experience our brand. Lead the design of systems involving GenAI LLMs, Graph RAG, and multi-modal models, architecting intelligent agentic workflows that redefine what's possible. If you're ready to set the technical direction for AI/ML at a global scale, this is your opportunity.As an AI/ML Architect, you'll define the technical vision and architecture for intelligent experiences, owning the end-to-end system design across the machine learning lifecycle. Partnering with business and engineering stakeholders, you'll define AI/ML architecture strategy, evaluate build vs. buy tradeoffs, and establish design patterns that leverage LLM technologies to unlock new insights at scale.Your expertise will guide multiple teams on architectural best practices for LLM and GenAI usage, ensuring platform scalability, reliability, and long-term maintainability. You'll architect complex AIOps systems, establishing frameworks for clustering, classification, anomaly detection, and capacity prediction to optimize our systems.

Responsibilities

• Architectural Ownership: Define and own the end-to-end architecture for AI/ML systems, establishing standards, design patterns, and best practices across teams.
• GenAI System Architecture at Scale: Deep expertise architecting end-to-end GenAI pipelines (model selection, fine-tuning, RAG, guardrails), aggressively optimizing for latency, hallucination rates, and token costs at enterprise scale
• Platform & Systems Design: Architect scalable, resilient Conversational AI platforms and virtual assistant frameworks that serve as the foundation for multiple product experiences.
• Technical Strategy & Roadmap: Partner with business and engineering leadership to define the AI/ML architecture roadmap, identify strategic opportunities, and guide the adoption of LLM-driven analytic solutions across the organization.
• Technical Leadership: Mentor engineering teams on architectural decisions, review system designs, and ensure alignment with enterprise-wide technical standards.

Minimum Qualifications

• 10 years of experience in software engineering or AI/ML, including 3-4+ years in an architect or technical leadership role designing enterprise-scale AI/ML systems.
• Understanding of core AI/ML concepts (supervised and unsupervised learning, deep learning, anomaly detection) and the ability to translate them into scalable system architectures.
• Experience delivering production generative AI solutions, with working knowledge of LLM architectures, fine-tuning techniques, and RAG.
• Experience designing and optimizing prompt strategies at scale, with measurable gains in LLM accuracy, latency, or cost-efficiency.
• Experience architecting multi-agent systems using orchestration frameworks (e.g., LangChain, LangGraph, AutoGen), with a focus on rapid experimentation and continuous prompt and model iteration.
• Experience designing integration architectures that connect AI and bot systems with backend systems, databases, and APIs to deliver robust end-to-end solutions.
• Track record of designing, building, and scaling AI/ML platforms and services that handle high data and traffic volumes in enterprise environments.
• Experience defining technical standards, conducting architecture reviews, and driving consistency across distributed engineering teams.
• Troubleshooting and analytical skills, with the ability to diagnose and resolve complex issues in distributed environments.
• BS in Engineering, Computer Science, or a related field, or equivalent experience.

Preferred Qualifications

• MS or PhD in Engineering, Computer Science, or a related field.
• Experience architecting solutions with multi-modal models and Graph RAG pipelines.
• Experience establishing RAG benchmarking frameworks and evaluation methodologies.
• Experience with model optimization techniques such as distillation, quantization, and parameter-efficient fine-tuning, and a record of quickly evaluating and prototyping emerging approaches (e.g., fine-tuning vs. RAG).
• Experience architecting conversational AI platforms at scale, including intent recognition, dialogue management, and natural language generation.
• Knowledge of DevOps practices, including CI/CD pipelines, infrastructure as code (e.g., Terraform), containerization (Docker), and Git-based workflows for automated build, test, and deployment of ML services.
• Knowledge of SRE principles, including defining SLIs/SLOs, monitoring and alerting, incident response, root cause analysis, and building for reliability in production systems.
• Experience architecting AIOps solutions, including clustering, classification, anomaly detection, and capacity prediction.
• Experience with LLMOps, including evaluation, observability, guardrails, and cost and token optimization.
• Familiarity with responsible AI practices, including privacy, brand safety, and governance.
• Background in marketing, creative, content, or personalization technology.
• Strategic, independent mindset with strong leadership instincts and the ability to thrive in a fast-paced, dynamic environment.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $216,200 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

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Apple accepts applications to this posting on an ongoing basis.