AI Solutions Consultant – Innovation Lab

Apple Apple · Big Tech · Cupertino, CA · Sales and Business Development

This role is for an AI Solutions Engineer in Apple's Innovation Lab, focusing on helping enterprise customers build applications on Apple platforms using AI and Spatial Computing. The role involves consulting, architecting, building demonstrations, and evangelizing best practices for AI-powered enterprise applications. Requires expertise in LLMs, RAG, traditional ML, and Apple platform development.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.

Skills

Required

  • BS in Computer Science (or equivalent degree)
  • 8+ years of relevant software engineering experience
  • Leveraging LLMs (prompt engineering, fine-tuning)
  • Implementing retrieval-augmented generation (RAG) systems
  • Deploying traditional ML models
  • Integrating the Model Context Protocol (MCP)
  • Hands-on experience developing applications for Apple platforms using Swift, SwiftUI
  • Strong software engineering fundamentals
  • Shipped production systems
  • Writing clean, robust, reliable, and maintainable code
  • Rapidly learn new concepts and tools
  • Excellent written, verbal, and presentation skills

Nice to have

  • Broad understanding of common enterprise technologies
  • Leading ecosystem solutions
  • Complex integration workflows
  • Human-centered AI design
  • Responsible AI principles
  • Mobile Computing
  • Spatial Computing
  • Masterful Storytelling
  • Drive & Autonomy
  • Impeccable follow-through in ambiguous environments

What the JD emphasized

  • proven track record of building AI-powered applications
  • highly proficient in leveraging LLMs
  • implementing retrieval-augmented generation (RAG) systems
  • deploying traditional ML models
  • integrating the Model Context Protocol (MCP)
  • hands-on experience developing applications for Apple platforms
  • shipped production systems

Other signals

  • building AI-powered applications
  • leveraging LLMs
  • implementing RAG systems
  • deploying traditional ML models
  • integrating the Model Context Protocol (MCP)