GenAI Solutions Architect - Scalable Conversational AI

Apple Inc.; Sunnyvale (CA); On-site; USD 150,400 - 277,600; Full time

Benefits offered by this job

Employee stock plan

Stock purchase plan

Medical and dental coverage

Tuition reimbursement

Relocation assistance

Discretionary bonuses or commissions

Job summary

Apple Inc. in Sunnyvale, CA seeks a GenAI Solutions Architect for Customer Systems to design and deliver scalable GenAI applications using LLMs, RAG, and agents. You will lead architecture, choose infrastructure, ensure data security, and guide engineering teams from concept to production.

The role emphasizes bridging business strategy with technical execution, cross-functional collaboration, and delivering high-impact AI solutions for customer systems.

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.

Responsibilities

• Lead design and implementation of scalable GenAI solutions.
• Architect scalable GenAI applications using LLMs, RAG, and Agents.
• Guide engineering teams from proof-of-concept to production.
• Bridge business strategy and technical execution across cross-functional teams.

Skills

GenAI design

Python/Rust

Architectural diagrams

9+ years experience

Education

Bachelor’s degree in CS/Engineering

Tools

Job description

Apple Inc. in Sunnyvale, CA seeks a GenAI Solutions Architect for Customer Systems to design and deliver scalable GenAI applications using LLMs, RAG, and agents. You will lead architecture, choose infrastructure, ensure data security, and guide engineering teams from concept to production.

The role emphasizes bridging business strategy with technical execution, cross-functional collaboration, and delivering high-impact AI solutions for customer systems.