GenAI Solutions Architect, Customer Systems
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Before you apply
LocationSunnyvale, California, United States
Typefull-time
SeniorityLead
Experience9+ yrs
DepartmentSoftware and Services
Company size10,000+ people
PostedMar 9, 2026 · 8mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
9+ years of total experience in software engineering, data engineering, or solution architecture
2+ years of hands-on experience designing and deploying GenAI solutions/Agentic AI solutions using RAG in production
Strong proficiency in Python/Rust and modern AI SDKs
Demonstrated ability to create architectural diagrams and technical documentation for non-technical stakeholders
Bachelor’s degree in Computer Science, Engineering, or a related technical field
Excellent problem-solving and analytical skills
Strong written and verbal communication skills as well as strong organizational skills
Ability to juggle and complete multiple tasks
Excellent leadership and influencing skills
Proficient at managing multiple global efforts simultaneously
Able to fit in well with a team, understand capabilities and priorities
Self-motivated and pro-active with demonstrated creative and critical thinking capabilities
Engineering/ Technical background preferred
Skills
Python
Rust
LLMs
RAG
Agents
AI SDKs
About the company
At Apple, we are driven to deliver exceptional experiences through ultra-fast, thoughtfully designed, and meticulously crafted solutions. Our team is not just any group; we are a highly motivated, fast-paced, and dynamic collective of professionals committed to scaling new heights and achieving excellence. We seek individuals who strive beyond mediocrity and are relentless in their pursuit of perfection.
About the role
The Support Engineering GenAI Solutions team at Apple is seeking a dedicated and detail-oriented Solution Architect. We are seeking a visionary and hands-on Generative AI Solution Architect to lead the design and implementation of cutting-edge AI solutions. In this role, you will bridge the gap between business strategy and technical execution. You will be responsible for architecting scalable GenAI applications (using LLMs, RAG, and Agents), selecting the right infrastructure, ensuring data security, and guiding engineering teams from proof-of-concept to production.If you are highly motivated and passionate about solving complex problems, fostering innovation, and developing critical cross-functional products in a fast-paced, collaborative environment, this role is for you.
Description
Our team is responsible for building and managing GenAI based conversational AI systems for multiple business groups within Apple. While most of the use-cases are associated with automating contact center use cases, the team builds solution for multiple other complex business challenges. In this role, you will employ innovative techniques, working collaboratively with cross-functional team members and business stakeholders during full lifecycle development process. Serve as the Customer System GenAI domain champion, leading the design and architectural development of innovative solutions that enhance the end-to-end experience for customers across diverse channels.
Minimum qualifications
•
9+ years of total experience in software engineering, data engineering, or solution architecture.
•
2+ years of hands-on experience designing and deploying GenAI solutions/Agentic AI solutions using RAG in production
•
Strong proficiency in Python/Rust and modern AI SDKs.
•
Demonstrated ability to create architectural diagrams and technical documentation for non-technical stakeholders.
•
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Preferred qualifications
•
Excellent problem-solving and analytical skills
•
Strong written and verbal communication skills as well as strong organizational skills.
•
Ability to juggle and complete multiple tasks
•
Excellent leadership and influencing skills
•
Proficient at managing multiple global efforts simultaneously
•
Able to fit in well with a team, understand capabilities and priorities
•
Self-motivated and pro-active with demonstrated creative and critical thinking capabilities
•
Engineering/ Technical background preferred
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