AI\/ML Engineer - Agentic AI
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 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 an AI/ML Engineer to help build agentic AI solutions that automate workflows and support better decision-making across the enterprise. In this role, you’ll collaborate with senior engineers and product partners to deliver reliable, production-grade AI services, contribute to agent orchestration approaches, and continuously improve evaluation and monitoring for quality and performance.
The ideal candidate brings proven software engineering fundamentals and experience with modern AI frameworks. This is a hands-on builder role focused on collaborative design, implementation, and deployment of agentic AI systems. If you enjoy building, experimenting, and learning while deploying real AI systems, we’d love to hear from you! This role will be based at our Midwest HQ in Ann Arbor, MI
Key Responsibilities
Build and deploy agent-based AI systems, including autonomous and semi-autonomous agents that can reason, plan, use tools, and collaborate effectively.
Support benchmarking efforts for model performance across different deployment environments.
Collaborate in the design and implementation of scalable and reliable AI/ML systems that support evolving workloads.
Help ensure solutions align with enterprise standards for security, compliance, observability, and operational efficiency.
Run focused experiments (e.g., A/B tests, workflow refinements) to improve agent performance.
Work closely with cross-functional partners to deliver impactful business outcomes.
Minimum Qualifications
Bachelor's degree in Computer Science, Data Science, AI, or a related field. Master's and/or PhD preferred
Minimum of 3-5 years of experience in AI/ML, with a proven track record of deploying solutions in a production environment.
Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit-learn, etc. Experience with RAG is essential.
Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture.
Strong understanding of cloud platforms, DevOps practices, and data processing technologies.
Demonstrated ability to lead technical projects and work effectively in matrix environments.
Ability to communicate technical concepts to non-technical team members and business partners.
Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns.
Preferred Qualifications
Experience working with enterprise AI/ML platforms or managed AI services.
Exposure to model evaluation, monitoring, or performance tuning in production settings.
Familiarity with MLOps practices and modern deployment workflows.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at
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