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AI Product Development Lead

Apple


Job Location:

Cupertino, CA - USA

Monthly Salary: Not provided by the employer
Posted: 11 July 2026 (30+ days ago)
Application Deadline: 8 October 2026
Vacancies: 1 Vacancy

Job Summary

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 productionnnThe 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 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.

nAs 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.

Lead the product engineering and building of proprietary or highly customized AI solutions for the legal end-to-end requirements gathering development and delivery partnering with business stakeholders to translate needs into product specifications with strict traceability to business rapid development and workable prototyping to test and validate AI use cases in a legal manage the AI-driven Document and Contract Intelligence portfolio including automated analysis and and mentor a team of AI Product Developers setting direction reviewing work and building team capabilities in front-end development integration and AI product AI models RAG pipelines and analytical assets building upon internal AI platforms to deliver legal-contextualized applications and internal AI platforms with legal domain context embedding AI-powered features into existing legal workflows (matter management contract lifecycle document review eBilling).nCollaborate with Engineering to transition prototypes to production defining handoff processes technical requirements and scalability adoption usage and feedback to continuously improve AI products and demonstrate business 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 experience leading technical teams in the development of AI-enabled understanding of the product development lifecycle for legal document-type experience building user-facing applications with modern front-end integrating AI/ML capabilities into applications including working with APIs LLMs and AI 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 intelligencenExperience in Knowledge Management and Workflow Management with LLM orchestration frameworks (LangChain LlamaIndex) and integrating LLM-based features into with agentic AI frameworks (LangGraph CrewAI) for building multi-step AI with RAG architectures vector databases and knowledge graph integration (GraphRAG).

About Company

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Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

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