People AI Enablement Lead

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Description The People Technology team is looking for an AI Enablement Lead to partner with our business owners and engineering teams on re-engineering processes using new emerging technology. This role sits squarely at the intersection of business strategy, technology, process design, and applied AI. The ideal candidate combines operational judgment with technical fluency — understanding both the realities of People processes and the practical considerations required to deploy AI-enabled workflows responsibly at enterprise scale. This is a high-ownership, high-visibility role that will help influence how the People organization evolves its operational model over time. Minimum Qualifications 8+ years of experience in enterprise technology, AI enablement, automation, integrations, digital transformation, or related technical roles. Stro [... source excerpt omitted ...] Experience working with AI-enabled applications, agentic workflows, or intelligent automation solutions in an enterprise environment. Strong understanding of software delivery and production lifecycle concepts, including development, testing, deployment, monitoring, support, and continuous improvement. Experience partnering across engineering, business, security, governance, UX, and platform teams to deliver enterprise solutions. Ability to evaluate technical feasibility, operational complexity, business value, risk, and scalability when prioritizing automation opportunities. Strong communication and stakeholder-management skills with the ability to translate between technical team [... source excerpt omitted ...] tners. Ability to operate effectively in ambiguous environments, independently shape problems, and drive initiatives from discovery through implementation and adoption. Preferred Qualifications Deep technical understanding of modern AI application architecture, including LLM-powered applications, tool calling, retrieval and grounding, context management, structured outputs, and agentic workflow orchestration. Experience designing agentic architectures such as tool-using agents, orchestrator/worker patterns, multi-agent workflows, event-driven agents, approval-based workflows, and human-in-the-loop systems. Experience building or integrating solutions using APIs, MCP servers, orchestr