AI Solutions Architect, Data Solutions & Initiatives

1 Month ago • All levels • Data Analysis • $175,800 PA - $264,200 PA

Job Summary

Job Description

Apple is seeking a hands-on AI Solutions Architect with deep technical expertise in Artificial Intelligence and Generative AI to join their Worldwide Sales organization, Data Solutions & Initiatives (DSI) team. This role focuses on driving innovation through product design, engineering, and portfolio management in a fast-paced, startup-like environment. The architect will be responsible for designing, prototyping, and implementing scalable, high-impact AI solutions, blending system architecture, rapid prototyping, and cross-functional execution. They will partner with engineers, product managers, data scientists, and business stakeholders to identify AI opportunities, translate them into scalable architectures, and ensure successful deployment. The ideal candidate is a proactive self-starter with excellent communication skills to translate complex AI concepts for various audiences, ensuring clear alignment and impactful delivery.
Must have:
  • Design end-to-end AI solutions with business impact
  • Build prototypes to evaluate architecture and modeling approaches
  • Guide architectural decisions for LLM, multimodal, and agentic frameworks
  • Assess and integrate open-source tools and frameworks
  • Collaborate with teams to define KPIs and strategic goals
  • Stay updated on Generative AI trends and prompt engineering
  • Define and advocate for best practices in model serving

Job Details

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We are a dynamic team within Apple’s Worldwide Sales organization, Data Solutions & Initiatives (DSI) — focused on driving innovation through product design, engineering, and portfolio management. In our startup-like environment, we move quickly, experiment boldly, and expect our team to take ownership of what they deliver. We are seeking a hands-on AI Solutions Architect with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products.

As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You’ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners—ensuring clear alignment, strong collaboration, and high-impact delivery. It’s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution. In this role, you will:
  • Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance.
  • Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems.
  • Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks.
  • Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases.
  • Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals.
  • Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures.
  • Define and advocate for best practices in model serving, integration patterns, and runtime efficiency—not just training ops.

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