Lead AI Engineer, Finance Digital Transformation

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$277,600 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $231k
$163k most similar roles pay here $290k

This role pays more than 62% of similar roles. Most pay $176,037–$246,150 — the shaded band above. At the midpoint, this role pays about $231k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Lead AI Engineer, Finance Digital Transformation

Lead AI Engineer, Finance Digital Transformation joins the Finance organization to architect and deliver production-ready AI solutions that automate complex workflows and enable smarter decision-making at scale. This role involves designing RAG-powered analytics, developing agentic automation workflows, and establishing engineering standards for LLM evaluation, observability, and SOx compliance. The engineer will write code, conduct architecture reviews, mentor team members, and manage CI/CD pipelines to ensure system reliability. Key technical requirements include expertise in Python, modern JavaScript or TypeScript frameworks like React and Vue, and experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure. Specialized skills include LLMOps, prompt engineering, and agentic frameworks like LangChain or LangGraph. The role addresses critical business problems regarding scale and reliability within the specific domain of enterprise finance operations.

What you'll do

  • Design and deliver production AI applications including RAG-powered analytics and agentic automation workflows.
  • Define engineering standards for LLM evaluation, production observability, and SOx-compliant systems.
  • Write production code to architect services, optimize RAG pipelines, and debug production issues.
  • Establish SLOs, implement drift monitoring, and strengthen CI/CD pipelines for AI systems.
  • Mentor engineers on AI best practices and conduct technical architecture reviews.
  • Partner with finance stakeholders to identify high-impact opportunities and prototype rapid solutions.

What we're looking for

  • 7+ years of experience shipping production web applications with demonstrated technical leadership.
  • Graduate degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • Deep expertise in Python and modern JavaScript/TypeScript frameworks like React or Vue.
  • Proven track record deploying generative AI solutions including RAG, prompt engineering, and evaluation frameworks to production.
  • Strong experience with Kubernetes and cloud platforms such as 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.

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