Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details
Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apple Inc.

Lead AI Engineer, Finance Digital Transformation

Career Insights for Generative Artificial Intelligence Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on California data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.

$166,830 / year median in California

Explore Career

Job Description

Lead AI Engineer, Finance Digital Transformation Cupertino, California, United States Software and Services Summary Posted:
Sep 04, 2026
Weekly Hours:
40
Role Number:
200679654-0836 Apple's Finance organisation is looking for experienced technical leaders to help us build the future. As Lead AI Engineer, you'll architect and deliver AI-powered solutions that transform how Finance operates globally—from automating complex workflows to enabling smarter decision-making at scale.

This is a builder-leader role where your code ships to production and your technical decisions shape our AI strategy. You'll work at the intersection of cutting-edge AI and enterprisefinance, solving unique challenges around scale, compliance, and reliability that few engineers ever tackle.

You'll have the rare opportunity to define how AI transforms finance at one of the world's most innovative companies. Yourwork will directly impact how Apple operates financially, with the autonomy to choose the right technologies and the resources to build at scale. If you're passionate about applying AI to solve real business problems and want to lead a team that ships meaningful products, we want to hear from you.
Description Build and Ship:
Design and deliver production AI applications that Finance teams across Apple depend on daily—from RAG- powered analytics to agentic automation workflows.

Set the
Technical Bar:
Define engineering standards for AI delivery, from LLM evaluation frameworks to production observability, ensuring we build systems that are auditable, scalable, and SOx-compliant.

Lead by
Example:
Write code alongside your team, whether architecting a new service, optimizing a RAG pipeline, or debugging a production issue.
Mentor and Elevate:
Guide engineers in AI best practices, conduct architecture reviews, and build a culture of engineering excellence.
Drive Production Excellence:
Establish SLOs, implement drift monitoring, strengthen CI/CD pipelines, and ensure our AI systems meet Finance's rigorous operational standards.
Partner and Deliver:
Collaborate with Finance stakeholders to identify high-impact opportunities, prototype solutions rapidly, and ship features that deliver measurable value. Minimum Qualifications 7+ years shipping production web applications with demonstrated technical leadership Graduate degree in CS, Software Engineering, or related field (or equivalent experience) Deep expertise in Python and modern JavaScript/TypeScript frameworks (React, Vue) Proven track record deploying generative AI solutions (RAG, prompt engineering, evaluation frameworks) to production Strong Kubernetes and cloud platform experience (AWS, GCP, or Azure) Excellence in system design, code review, testing strategies, and GitOps practices Experience mentoring engineers and driving technical decisions across teams Ability to communicate complex technical concepts to both engineering and finance audiences Preferred Qualifications LLMOps expertise: evaluation pipelines, prompt versioning, drift detection Experience with agentic frameworks (LangChain, LangGraph, Google ADK) Understanding of finance fundamentals (SOx compliance, P&L, financial reporting cycles) Background in ML algorithms and their practical applications in enterprise settings Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note:
Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.