AI Solutions Engineer

AppleCupertino, CA

About The Position

As an AI Solutions Engineer on the Corporate FP&A Data Analytics team, you'll pair hands-on vibe-coding and AI-assisted development with the work that turns an idea into a real tool: user research, technical design, and keeping finance partners and engineering aligned. Day to day, you'll turn messy financial-analysis needs into working proof-of-concept features, and help FP&A and Investor Relations partners put approved internal AI tools to work. Over time, you'll help shape what Apple's internal financial tools can do next, prototyping AI-powered solutions and working with engineering to carry them into the enterprise applications our team builds and supports.

Requirements

  • 7+ years in solutions engineering, product management, technical program management, or a similar technical role.
  • BS or MS in Engineering, Computer Science, or a related field.
  • Proven ability to build functional prototypes and proof-of-concept applications with modern web technologies (e.g., Python, JavaScript/TypeScript, React, Streamlit), accelerated by AI coding tools like Claude Code, Codex, Gemini CLI, or Antigravity.
  • Hands-on SQL for analyzing datasets and informing technical decisions.

Nice To Haves

  • Solutions engineering, product management, or technical program management experience in a finance, BI, or data analytics domain, such as corporate finance, FP&A, Investor Relations, or executive reporting tools.
  • Experience designing or integrating AI/LLM-powered features into enterprise tools (e.g., natural language querying, summarization, intelligent defaults).
  • Familiarity with data pipelines, dimensional modeling, or data warehousing concepts as they relate to financial reporting.
  • Experience handling confidential, market-sensitive financial data within security and data-governance controls.
  • Experience taking prototypes to production: defining acceptance criteria, coordinating with engineering on API and backend integration, and making sure design intent survives implementation.
  • Comfortable in Agile tools like Jira and Confluence.

Responsibilities

  • Turn messy financial-analysis needs into working proof-of-concept features.
  • Help FP&A and Investor Relations partners put approved internal AI tools to work.
  • Shape what Apple's internal financial tools can do next.
  • Prototype AI-powered solutions.
  • Work with engineering to carry prototypes into enterprise applications.
  • Conduct user research.
  • Write functional and technical specifications for engineering.
  • Produce or support executive-level reporting.
  • Drive adoption of new tools or AI capabilities with business users (enablement, training, or change management).
  • Explain technical ideas clearly to non-technical partners.
  • Work independently, iterate fast, and enjoy picking up unfamiliar tools and domains.
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