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About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
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3535 open roles
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Listed pay typically runs
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The People AI Enablement Lead joins the People Technology team to partner with business owners and engineering teams on re-engineering processes using emerging technology. This role sits at the intersection of business strategy, technology, process design, and applied AI. The Lead will conduct structured assessments to identify workflows for AI-enabled automation, build prioritized roadmaps, and map data flows across platforms like Workday, ServiceNow, and People EDW. Key responsibilities include configuring workflows using APIs, MCP servers, and orchestration tooling while defining human-in-the-loop checkpoints and governance controls. The role requires technical fluency in SQL, scripting, and agentic architectures to solve operational bottlenecks. The position focuses on deploying responsible, scalable AI-enabled systems that improve user experience, accuracy, and scalability within enterprise People environments.
Conduct structured assessments of People functions to identify workflows suitable for AI-enabled automation.
Build and maintain a prioritized roadmap of AI deployment opportunities tied to operational KPIs.
Map structured and unstructured data flows across enterprise platforms like Workday and ServiceNow.
Configure and operationalize AI-enabled workflows using APIs, orchestration tooling, and integration layers.
Define human-in-the-loop review checkpoints, escalation paths, and governance controls for deployed workflows.
Monitor deployed agents against KPIs including cycle time, accuracy, reliability, and adoption rates.
Manage evaluations and regression testing following model updates or process modifications.
Establish and maintain knowledge repositories including process documentation, runbooks, and workflow guidance.
What we're looking for
8+ years of experience in enterprise technology, AI enablement, automation, integrations, digital transformation, or related technical roles.
Experience translating complex business and operational requirements into scalable technology solutions.
Demonstrated experience designing, building, or enabling automated workflows across enterprise systems and business processes.
Hands-on technical fluency with APIs, integrations, scripting, SQL/data querying, workflow orchestration, and enterprise application platforms.
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.
Deep technical understanding of modern AI application architecture, including LLM-powered applications, tool calling, and agentic workflow orchestration (preferred).
Generative AI
Agentic AI
Python
Java
C#
C++
Retrieval-Augmented Generation (RAG)
Microsoft AI
Copilot Studio
Power Automate
UiPath
Model Evaluation
Observability
Data Protection
Security
Governance
Automation