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NEXTMOVEFDE careers · United States
Apple

Lead AI Engineer, Finance Digital Transformation

AI summary of the role

Lead AI Engineer role within Apple's Finance organization, responsible for architecting and delivering production AI applications that transform global finance operations.

What you’ll do

  • Design and deliver production AI applications for Finance teams, including RAG-powered analytics and agentic automation workflows.
  • Define engineering standards for AI delivery, including LLM evaluation frameworks and production observability.
  • Write code alongside the team, architecting services, optimizing RAG pipelines, and debugging production issues.
  • Mentor engineers, conduct architecture reviews, and build a culture of engineering excellence.

What you’ll bring

  • 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.

Technologies

Python · JavaScript · TypeScript · React · Vue · Kubernetes · AWS · GCP · Azure · RAG · LangChain · LangGraph

About Apple

Designs and sells iPhone, Mac, iPad, Watch, and Vision Pro plus a $100B+ Services layer (App Store, iCloud, Apple Pay, Music, TV+) atop a 2.5B device installed base.

Public

Source and classification

Internal deployment & tooling · Evidence for this classification:

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 enterprise finance, 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
More from the job description

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 enterprise finance, 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-complia [... source excerpt omitted ...] line, 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 [... source excerpt omitted ...] ertise 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) Underst

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