Remote HR Tech & AI Workday Solutions Architect

Levi Strauss & Co

United States

Remote

USD 140,000 - 180,000

Full time

3 days ago
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Job summary

Levi Strauss & Co. is seeking a Manager, HR Technology & AI Solutions to lead the strategy for HR and corporate applications, with a focus on Workday, intelligent automation, AI agents, and enterprise integrations.

You will partner with HR, business stakeholders, and engineering to translate priorities into scalable tech solutions, own end-to-end delivery, and champion responsible AI adoption to boost employee experience and operational efficiency.

Qualifications

  • 8+ years in HR technology, enterprise applications, or solution architecture.
  • Strong Workday expertise or familiarity with HR platforms and integrations.
  • Hands-on AI, automation, and conversational platforms such as Copilot Studio.

Responsibilities

  • Define the HR technology and corporate applications roadmap aligned with business priorities.
  • Lead solution architecture across Workday, integrations, and AI-enabled capabilities.
  • Drive adoption of AI agents and intelligent automation to improve employee and business experiences.
  • Define integration and data architecture across platforms such as Workday, ServiceNow, SAP, Microsoft 365.
  • Provide technical leadership to delivery teams, ensuring security, scalability, and compliance.

Skills

HR tech
Solution architecture
APIs & integrations
Cloud platforms
Agile
DevOps
ITIL
Release management
Stakeholder management
Communication
Influencing

Education

Bachelor's or Master's in CS/IS/Engineering

Tools

Workday
Microsoft Copilot Studio
ServiceNow
SAP
Microsoft 365
Azure
GCP

Job description

Levi Strauss & Co. is seeking a Manager, HR Technology & AI Solutions to lead the strategy for HR and corporate applications, with a focus on Workday, intelligent automation, AI agents, and enterprise integrations.

You will partner with HR, business stakeholders, and engineering to translate priorities into scalable tech solutions, own end-to-end delivery, and champion responsible AI adoption to boost employee experience and operational efficiency.

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