About the role

What will you do at Apple?

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-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

Which skills does this role require?

PythonJavaScriptTypeScriptReactVueKubernetesGenerative AIRAGPrompt EngineeringSystem DesignGitOpsCloud ComputingTechnical LeadershipAI EngineerFinance Digital TransformationAWSGCPAzureCI/CDObservabilitySoftware EngineeringProduction ExcellenceData AnalyticsEnterprise FinanceAutomationArchitectureVue.jsMachine LearningLLMsPrototyping

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.