Want to know if this job is worth applying to?
Ann Arbor, Michigan, United States
Onsite
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
The AI Manager leads a team of engineers delivering AI enabled products and platforms that drive measurable business outcomes. This role combines people leadership, technical oversight, and delivery accountability, ensuring AI solutions are built responsibly, operate reliably in production, and align with enterprise priorities. The manager partners closely with product, data, platform, security, and business stakeholders to translate opportunities into scalable AI solutions.
Key Responsibilities
Manage and grow a team of AI engineers, ML engineers, and/or software engineers working on AI initiatives.
Set clear goals, expectations, and success metrics; conduct regular 1:1s, performance reviews, and career development planning.
Coach team members on technical excellence, delivery discipline, and responsible AI practices.
Own delivery of AI and GenAI initiatives from concept through production, ensuring scope, timelines, and quality standards are met.
Guide teams in building production‑grade AI systems, including data pipelines, model training, LLM applications, deployment, and monitoring.
Balance experimentation with operational rigor—ensuring solutions are scalable, secure, and supportable.
Provide architectural and design guidance for:
ML pipelines and model lifecycle management
LLM applications (e.g., RAG, agents, copilots, tool/function calling)
Integration of AI services into enterprise applications
Review designs and key technical decisions; ensure alignment with platform standards and best practices.
Partner with data, cloud, and platform teams to ensure AI solutions align with enterprise architecture.
Collaborate with security, legal, and governance teams to ensure responsible AI, privacy, and compliance requirements are met.
Communicate status, risks, and outcomes clearly to leadership and stakeholders.
Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response.
Establish guardrails for responsible AI: data privacy, model risk, transparency, bias awareness, and auditability.
Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
Experience managing teams building LLM‑based applications or GenAI platforms.
Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data stacks.
Exposure to MLOps practices, model monitoring, and AI governance frameworks.
Experience delivering AI solutions in enterprise domains such as manufacturing, supply chain, finance, or customer operations.
Core Competencies
People Leadership: coaching, feedback, performance management, hiring
AI Delivery: ML lifecycle, LLM applications, production readiness
Technical Judgment: architecture reviews, trade‑off decisions
Execution: roadmap planning, dependency management, risk mitigation
Collaboration: product partnership, stakeholder communication
Responsible AI: security, privacy, governance awareness
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
10+ years of experience in software engineering, ML/AI engineering, or applied data roles.
4+ years of people management experience leading technical teams.
Strong understanding of AI/ML systems and how they are built, deployed, and operated in production.
Hands‑on background with modern engineering practices (APIs, CI/CD, testing, observability).
Ability to communicate effectively with both technical and non‑technical stakeholders.
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 talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.