AI Product Development Lead

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Are you passionate about turning AI capabilities into products that people use? Do you thrive at the intersection of product development, user experience, and emerging technology? Do you have a passion for building solutions that bridge the gap between prototype and production? The Legal and Global Security (LGS) Operations team is seeking an AI Product Development Lead to head the product engineering and building efforts within our legal tech ecosystem. This role is responsible for the rapid development and workable prototyping of AI-driven tools that transform how legal work is performed. As part of this team, you will lead a team of AI Product Developers, build upon internal AI platforms, and deliver legal-contextualized AI applications, services, and features embedded into existing legal workflows. This is a unique opportunity for a hands-on leader who can build prototypes, manage a team, and navigate the path from concept to production. You will be the connective tissue between what AI can do and what the business needs it to do — extending internal AI platforms with legal domain context and embedding intelligent capabilities into the workflows attorneys use every day.

Description

As an AI Product Development Leade you will lead the development of AI-powered applications and solutions that serve legal operations use cases. This role requires a deep understanding of Generative AI and Machine Learning applications to drive the "AI-First" roadmap. You will manage a team of AI Product Developers, own the product development lifecycle from discovery through deployment, and ensure solutions are built for adoption, scalability, and production readiness.

Minimum Qualifications

10+ years of experience in product development, AI strategy, and technical program management.
Proven experience leading technical teams in the development of AI-enabled solutions.
Deep understanding of the product development lifecycle for legal document-type technologies.
Strong experience building user-facing applications with modern front-end frameworks.
Experience integrating AI/ML capabilities into applications — including working with APIs, LLMs, and AI services.
Proven experience building and deploying prototypes that evolve into production systems.

Preferred Qualifications

Demonstrated proficiency in AI-powered legal solutions including but not limited to: compliance, contract management, and document intelligence
Experience in Knowledge Management and Workflow Management transformation.
Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and integrating LLM-based features into products.
Experience with agentic AI frameworks (LangGraph, CrewAI) for building multi-step AI workflows.
Familiarity with RAG architectures, vector databases, and knowledge graph integration (GraphRAG).