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Overview
Mid-Level

GenAI Solutions Architect, Customer Systems

Confirmed live in the last 24 hours

Apple

Apple

Sunnyvale
On-site
Posted February 11, 2026

Job Description

Summary

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. 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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