Care AI Experience Architect

People Care AI Experience Architect

This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

The AI Experience Architect, People Care AI designs the end-to-end experience architecture required to make People Care AI simple, scalable, and outcome-driven. This role is not a people‑management or team‑leadership role. It is an individual‑contributor role focused on translating employee and manager needs, HR process complexity, knowledge readiness, and AI capabilities into practical experience designs, interaction patterns, service journeys, and solution requirements.

The role acts as the bridge between People Care operations, process experts, knowledge owners, technology partners, and AI program teams. It helps ensure the AI experience starts with the outcome the employee or manager is trying to achieve, rather than simply automating today’s process complexity. The role brings together service design, process architecture, AI readiness, knowledge management, and digital transformation capabilities to shape AI‑enabled experiences that are easy to use, reliable, globally scalable, and appropriate for the level of risk, judgment, and sensitivity involved.

This position is critical to helping People Care avoid building fragmented or inefficient workflows into the AI Agent. By using use‑case volume, employee pain points, portal behavior, standardization potential, risk, transaction simplicity, and knowledge readiness data, the AI Experience Architect defines which experiences are ready for AI enablement, which require simplification first, and which should remain human‑led because they involve judgment, sensitivity, or trust.

• AI Experience Architecture:
  Define the target experience architecture for People Care AI, including user journeys, conversation flows, service blueprints, escalation models, and handoff patterns.
• Outcome‑First Design:
  Reframe HR process work around what employees and managers are trying to achieve, rather than how current processes are structured.
• Journey and Interaction Design:
  Design simple, intuitive AI‑enabled experiences for high‑value use cases such as information requests, documentation needs, personal information updates, time‑off support, case creation, and case status checks.
• Process Simplification Input:
  Identify friction points, unnecessary steps, redundant approvals, excessive handoffs, and local variations that should be simplified before AI automation is pursued.
• Global Experience Standards:
  Define reusable global‑first experience patterns and document where mandated country, legal, payroll, or compliance exceptions require variation.
• AI Readiness Requirements:
  Translate process and knowledge needs into AI‑ready requirements, including article completeness, decision logic, system dependencies, escalation triggers, and human‑in‑the‑loop needs.
• Use Case Prioritization:
  Use volume, standardization, risk, judgment required, transaction simplicity, and knowledge readiness data to recommend which AI experiences should be designed and sequenced first.
• Knowledge and Content Alignment:
  Partner with knowledge owners to identify outdated, missing, or incomplete content that could reduce AI accuracy, employee trust, or self‑service adoption.
• Cross‑Functional
  
  Collaboration:
  
  Work with People Care, Country HR, HRIS, Workday, Salesforce, knowledge management, and AI program partners to validate requirements and…