Job Details

Weekly Hours: 5

Role Number: 200653952-0836

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish.

Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services, enriching the lives of hundreds of millions of people around the world. In many ways, we are the face of Apple to our largest enterprise customers.

We are seeking a dynamic, highly technical, and outcome-oriented AI Solutions Engineer to join Apple’s Innovation Lab. Our lab helps top-tier customers and partners build groundbreaking applications for Apple platforms by leveraging emerging technologies like Artificial Intelligence and Spatial Computing.

In this role, you will act as a bridge between cutting-edge AI engineering and enterprise customer success. You will partner with cross-functional teams to help the world's leading organizations design, build, and deploy intelligent systems powered by machine learning and large language models (LLMs). If you possess strong architectural thinking, deep AI/ML knowledge, robust software development skills, and a passion for customer-facing innovation, we want you on our team.

Description

Consult & Architect: Dive deep into our customers’ technical landscapes. Analyze their challenges, map out available technologies, and design thoughtful, actionable solutions that drive mutually agreed-upon outcomes.

Build & Innovate: Maintain and enhance the Innovation Lab's technical infrastructure. You will build and deliver high-impact, hands-on demonstrations showcasing the latest in emerging AI and Spatial Computing capabilities.

Evangelize Best Practices: Act as a trusted advisor to technical teams at leading global organizations, sharing expert guidance on the development, integration, and deployment of AI-powered enterprise applications.

Lead with Empathy: Approach every customer interaction with deep curiosity, a customer-centric mindset, and the ability to influence cross-functional teams to consistently deliver excellent outcomes.

Minimum Qualifications

• Experience & Education: BS in Computer Science (or equivalent degree) and 8+ years of relevant software engineering experience.

• AI/ML Expertise: A proven track record of building AI-powered applications. You are highly proficient in leveraging LLMs (prompt engineering, fine-tuning), implementing retrieval-augmented generation (RAG) systems, deploying traditional ML models, and integrating the Model Context Protocol (MCP).

• Apple Ecosystem Mastery: Hands-on experience developing applications for Apple platforms using Swift, SwiftUI, and other core Apple technologies.

• Engineering Excellence: Strong software engineering fundamentals. You have shipped production systems and know exactly how to write clean, robust, reliable, and maintainable code.

• Agility & Communication: Demonstrated ability to rapidly learn new concepts and tools, paired with excellent written, verbal, and presentation skills.

Preferred Qualifications

• Enterprise Acumen: A broad understanding of common enterprise technologies, leading ecosystem solutions, and complex integration workflows.

• Design & Ethics: Familiarity with human-centered AI design and a strong grasp of responsible AI principles.

• Emerging Tech: A solid understanding of Mobile Computing and hands-on experience or strong interest in Spatial Computing.

• Masterful Storytelling: The ability to craft and deliver compelling technical narratives that drive understanding, build relationships, and win support for key initiatives.

• Drive & Autonomy: Passionate and self-motivated, with outstanding attention to detail, a strong sense of urgency, and impeccable follow-through in ambiguous environments.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .