AI Solutions Engineer

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. Our

team produces the foundation, tools, and support that enable Corporate FP&A and

Investor Relations to provide the financial insight that our executives need to

keep Apple as the preeminent company in the world.

DESCRIPTION

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.

MINIMUM QUALIFICATIONS

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. Experience conducting user

research and writing functional and technical specifications for engineering.

Hands-on SQL for analyzing datasets and informing technical decisions.

Experience producing or supporting executive-level reporting.

PREFERRED QUALIFICATIONS

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). Experience

driving adoption of new tools or AI capabilities with business users

(enablement, training, or change management). 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.

Explains technical ideas clearly to non-technical partners; comfortable in Agile

tools like Jira and Confluence. Works independently, iterates fast, and enjoys

picking up unfamiliar tools and domains.