Lead AI Engineer, Finance Digital Transformation

Apples Finance organisation is looking for experienced technical leaders to help us build the future. As Lead AI Engineer youll architect and deliver AI-powered solutions that transform how Finance operates globallyfrom automating complex workflows to enabling smarter decision-making at is a builder-leader role where your code ships to production and your technical decisions shape our AI strategy. Youll work at the intersection of cutting-edge AI and enterprisenfinance solving unique challenges around scale compliance and reliability that few engineers ever have the rare opportunity to define how AI transforms finance at one of the worlds most innovative companies. Your work will directly impact how Apple operates financially with the autonomy to choose the right technologies and the resources to build at scale. If youre 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.

Build and Ship: Design and deliver production AI applications that Finance teams across Apple depend on dailyfrom RAG- powered analytics to agentic automation 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 by Example: Write code alongside your team whether architecting a new service optimizing a RAG pipeline or debugging a production and Elevate: Guide engineers in AI best practices conduct architecture reviews and build a culture of engineering excellence. nDrive Production Excellence: Establish SLOs implement drift monitoring strengthen CI/CD pipelines and ensure our AI systems meet Finances rigorous operational and Deliver: Collaborate with Finance stakeholders to identify high-impact opportunities prototype solutions rapidly and ship features that deliver measurable value.

7 years shipping production web applications with demonstrated technical leadershipnGraduate degree in CS Software Engineering or related field (or equivalent experience)nDeep expertise in Python and modern JavaScript/TypeScript frameworks (React Vue)nProven track record deploying generative AI solutions (RAG prompt engineering evaluation frameworks) to productionnStrong Kubernetes and cloud platform experience (AWS GCP or Azure)nExcellence in system design code review testing strategies and GitOps practicesnExperience mentoring engineers and driving technical decisions across teamsnAbility to communicate complex technical concepts to both engineering and finance audiences

LLMOps expertise: evaluation pipelines prompt versioning drift detectionnExperience with agentic frameworks (LangChain LangGraph Google ADK)nUnderstanding of finance fundamentals (SOx compliance Pu0026L financial reporting cycles)nBackground in ML algorithms and their practical applications in enterprise settings