AI Solutions Engineer for Corporate FP&A Analytics

Apple Inc.

Cupertino (CA)

On-site

USD 175,500 - 263,800

Full time

14 days+

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Benefits offered by this job

Stock programs
Medical benefits
Dental coverage
Retirement benefits
Tuition reimbursement
Relocation available

Job summary

Apple Inc. in Cupertino, CA is seeking an AI Solutions Engineer for the Corporate FP&A Data Analytics team. You will pair hands-on vibe-coding with AI-assisted development to turn financial-analysis needs into working tools, conducting research, designing solutions, and aligning finance partners with engineering on AI capabilities.

You will prototype AI-powered features, shape enterprise tooling, and collaborate across engineering to deploy these tools at scale within Apple’s internal systems.

Qualifications

  • 7+ years in a technical role (engineering, PM or TPM).
  • Experience conducting user research and writing specs for engineering.
  • Hands-on SQL for data analysis to inform decisions.
  • Experience with executive-level reporting.

Responsibilities

  • Use generative AI to build interactive prototypes for Corporate FP&A tools.
  • Guide stakeholders to value from internal AI tools and drive adoption.
  • Run user research and translate insights into clear engineering specs.
  • Set technical direction, balance new capabilities with debt and partner requests.
  • Work with engineering to move prototypes into production and support releases.
  • Own feedback loops and triage support escalations.

Skills

Solutions engineering
Product management
Technical program management
SQL

Education

BS or MS in Engineering/CS

Tools

Jira
Confluence

Job description

Apple Inc. in Cupertino, CA is seeking an AI Solutions Engineer for the Corporate FP&A Data Analytics team. You will pair hands-on vibe-coding with AI-assisted development to turn financial-analysis needs into working tools, conducting research, designing solutions, and aligning finance partners with engineering on AI capabilities.

You will prototype AI-powered features, shape enterprise tooling, and collaborate across engineering to deploy these tools at scale within Apple’s internal systems.

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