Senior Software Engineer (GenAI SAP Finance), AI & Data Platforms (AiDP)

Do you want to help build some of the largest and most consequential enterprise

and customer technology systems in the world? Join Apple’s Information Systems

and Technology (IS&T) organization. IS&T is the engine behind everything Apple

does for customers and for the people who build for them. It’s Apple’s central

nervous system. Supporting 2.5 billion active Apple devices, processing billions

of secure transactions, and keeping the technology that defines modern life

running flawlessly, IS&T makes the impossible feel effortless.Do you love

building solutions to handle global complexity and immense scale? Imagine what

you could do here. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered

innovation. The team brings together data, application development, and machine

learning — including generative AI — along with data services and customer

success functions, to help IS&T build solutions more efficiently and streamline

the adoption and embedding of generative AI across Apple.

DESCRIPTION

In the AiDP Finance team, we build the Reporting and Analytical solutions to

meet business need for Legal, Management and Statutory Reporting. We source base

data from SAP systems — ECC, RAR, and S/4HANA — and build ground-up native SAP

HANA models to report on at near real time and at scale. We are now extending

that foundation with generative AI. This is a high-ownership, senior

individual-contributor role. We are seeking a seasoned engineer to define and

lead this space, combining deep knowledge of SAP Finance data with production

GenAI technologies such as agentic frameworks, MCP, and RAG. You will shape how

AI is applied across our Finance data platform — the use cases, the solution

design, and the standards — working closely with our HANA engineering and GenAI

platform teams to take them to production.

MINIMUM QUALIFICATIONS

10+ years in the SAP domain, with a significant focus on solution architecture

for large-scale, business-critical Finance platforms. Proven track record owning

a Finance platform end to end — from use-case discovery and solution design

through delivery, adoption, and continuous improvement. Strong finance domain

knowledge across revenue recognition, order-to-cash, and record-to-report, and

the reporting requirements of Legal, Management, and Statutory reporting.

Working knowledge of SAP HANA data models and analytics on SAP-sourced data,

sufficient to define analytics strategy, specify what the AI layer needs, and

partner credibly with HANA engineers on implementation. Experience designing or

delivering agentic systems and MCP-based integrations, with hands-on depth in

prompt engineering and evaluations. Strong SQL and Python skills for working

with large financial datasets. BS or MS Degree or equivalent experience.

PREFERRED QUALIFICATIONS

Deep understanding of revenue accounting, including ASC 606 / IFRS 15 treatment

and how RAR represents it, at high contract and transaction volume. Working

knowledge of SAP Finance data — including RAR and S/4HANA — as a source system:

data structures, extraction interfaces, and the business logic behind the

numbers. Designing or delivering an AI agent workflow or conversational

experience in production, grounded in enterprise data. Experience setting

technical direction and standards for engineering teams, and influencing senior

business and technology stakeholders without direct authority. Excellent written

and oral communication on technical and non-technical topics, with the ability

to articulate trade-offs to executive and diverse audiences.