About the job
As KLA HR evolves to leverage AI at scale, this role plays a critical part in extending intelligent automation, decision support, and employee experience capabilities across HR systems and operations. The AI Systems and Operations Specialist will drive AI across HR Systems, Operations, and key HR business processes. Responsible for advancing systems and tools, for improved operational efficiency through AI. It encompasses exploring and benchmarking AI enhancement options, driving technology AI roadmaps, developing solutions, testing and implementation, in partnership with key stakeholders across HR, IT, Legal and Compliance.
Responsibilities
Identify and define high-impact AI use cases across HR functions, translating business needs into viable AI solutions
Benchmark emerging AI capabilities, tools, and market trends to inform enterprise HR AI roadmaps
Prototype, test, and deploy AI solutions within Workday and adjacent HR systems
Implement and sustain AI-powered automations and workflows that improve efficiency and cycle time
Ensure AI solutions align with enterprise AI governance, ethics, security, and compliance standards
Maintain AI documentation, lifecycle management, and audit readiness
Partner with HR Operations to redesign workflows and enable AI adoption
Drive measurable productivity, quality, or experience improvements through AI
Lead and coordinate AI initiatives across HR Systems, Operations, and Analytics portfolios
Qualifications
Minimum
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
Preferred
Experience with advanced Copilot/agentic automation patterns that scale across the Microsoft Suite and Workday
Experience with AI benchmarking, market trends, and emerging best practices
Understanding of HR processes, employment law fundamentals, and data privacy requirements
Experience applying AI governance and ethics principles (fairness, transparency, security, compliance)
Ability to drive change management for AI adoption in regulated, enterprise environments