Sr. AI Engineering Manager

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 worlds leading technology providers to accelerate the delivery of tomorrows 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. ITs 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 productiongrade AI systems including data pipelines model training LLM applications deployment and monitoring.

• Balance experimentation with operational rigorensuring 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.

Preferred / Nice to Have

• Experience managing teams building LLMbased 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 tradeoff decisions

• Execution: roadmap planning dependency management risk mitigation

• Collaboration: product partnership stakeholder communication

• Responsible AI: security privacy governance awareness

Minimum Qualifications

• Bachelors 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.

• Handson background with modern engineering practices (APIs CI/CD testing observability).

• Ability to communicate effectively with both technical and nontechnical stakeholders.

Base Pay Range: $114100.00 - $194000.00 Annually

Primary Location: USA-MI-Ann Arbor-KLA

KLAs total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical dental vision life and other voluntary benefits 401(K) including company matching employee stock purchase program (ESPP) student debt assistance tuition reimbursement program development and career growth opportunities and programs financial planning benefits wellness benefits including an employee assistance program (EAP) paid time off and paid company holidays and family care and bonding leave.

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 or at 1- 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 KLAs 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 to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.