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.
The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job Description/Preferred Qualifications
We are seeking a hands-on AI/ML Engineer specializing in AI agent systems to design and implement agentic workflows that can plan, reason, use tools, and safely execute tasks across complex enterprise environments. You will build orchestration layers, tool interfaces, memory and state management, and evaluation/guardrails to ensure agents are reliable, secure, and production-ready.
Create tool interfaces for internal services and data sources (APIs, databases, ticketing, knowledge bases) with strong typing and validation.
Implement safe execution patterns (sandboxing where appropriate, permission gating, step limits, and deterministic fallbacks).
Implement guardrails for tool use, data access, and response policies (PII handling, prompt-injection resistance, output constraints).
Build monitoring for agent behavior: tool-call success rates, failure modes, loops, latency, cost, and user satisfaction signals.
Optimize agent latency and cost using caching, memoization, selective tool calling, context management, and lightweight models where appropriate.
Implement rate limiting, retries, circuit breakers, and queueing strategies to protect downstream dependencies.
Bachelor's degree in Computer Science, Engineering, Data Science, Human-Computer Interaction, or a related field with 5+ years of relevant experience; OR a Master's/PhD with 3+ years of relevant experience.
Experience with evaluation frameworks for agentic systems (task benchmarks, simulation, golden tasks, human-in-the-loop review).
Experience with workflow engines/queues (e.g., Airflow, Temporal, Celery) and distributed systems patterns.
What Success Looks Like (First 6-12 Months)
Note: Technology choices may vary by team needs; candidates should be comfortable learning and adapting to new tools.
Minimum Qualifications
Doctorate (Academic) or work experience of 0 years , Master's Level Degree or work experience of 2 years , Bachelor's Level Degree or work experience of 3 years
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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