AI Product Development Lead

Cupertino, California, United States Corporate Functions

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.

As an AI Product Development Lead 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.

• Lead the product engineering and building of proprietary or highly customized AI solutions for the legal organization.
• Manage end-to-end requirements gathering, development, and delivery – partnering with business stakeholders to translate needs into product specifications with strict traceability to business outcomes.
• Drive rapid development and workable prototyping to test and validate AI use cases in a legal context.
• Product manage the AI-driven Document and Contract Intelligence portfolio, including automated analysis and extraction.
• Lead and mentor a team of AI Product Developers – setting direction, reviewing work, and building team capabilities in front‑end development, integration, and AI product design.
• Consume AI models, RAG pipelines, and analytical assets – building upon internal AI platforms to deliver legal-contextualized applications and features.
• Extend internal AI platforms with legal domain context – embedding AI-powered features into existing legal workflows (matter management, contract lifecycle, document review, eBilling).
• Collaborate with Engineering to transition prototypes to production – defining handoff processes, technical requirements, and scalability considerations.
• Track adoption, usage, and feedback to continuously improve AI products and demonstrate business value.
• Establish standards for AI product development including design patterns, component libraries, testing frameworks, and documentation.

• 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.

• 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 (Lang Chain, Llama Index) and integrating LLM‑based features into products.
• Experience with agentic AI frameworks (Lang Graph, CrewAI) for building multi‑step AI workflows.
• Familiarity with RAG architectures, vector databases, and knowledge graph integration (GraphRAG).

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