AI Systems and Operations Specialist

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.

The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems.

There is never a dull moment with us.

Group/Division

The vision of KLA's global human resources organization is to become a leader and partner to operating leadership in support of the company's efforts to achieve its strategic growth, customer and operating objectives through strategic talent management. Our mission is to enable the business, and leverage human resources to achieve short and long-term business objectives. Our primary areas of strategic focus include talent acquisition, individual and organizational assessment and development, performance management, inclusion and engagement, and rewards.

The global HR organization includes HR business partners, learning and development, talent acquisition, compensation and benefits, employee communications, and HR system operations.

Job Description /Preferred Qualifications

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.

The AI Systems and Operations Specialist key responsibilities include:

AI Strategy & Enablement

* 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

AI Delivery & Operations

* 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

Governance & Risk

* Ensure AI solutions align with enterprise AI governance, ethics, security, and compliance standards

* Maintain AI documentation, lifecycle management, and audit readiness

Change & Process Redesign

* Partner with HR Operations to redesign workflows and enable AI adoption

* Drive measurable productivity, quality, or experience improvements through AI

Program Management

* Lead and coordinate AI initiatives across HR Systems, Operations, and Analytics portfolios

Desired Qualifications

* 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

Minimum Qualifications

* 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

Base Pay Range:…