The AI Manager at KLA leads a team of engineers focused on delivering AI-enabled products and platforms that drive business outcomes. This role emphasizes people leadership, technical oversight, and accountability for the delivery of AI solutions. The manager collaborates with various stakeholders to translate opportunities into scalable AI solutions while ensuring responsible and reliable operations. The position is integral to enhancing the company's technological capabilities and fostering innovation within the team.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 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 their deployment in production.
• Hands-on background with modern engineering practices such as APIs, CI/CD, testing, and observability.
• Ability to communicate effectively with both technical and non-technical stakeholders.

• Manage and grow a team of AI engineers, ML engineers, and 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 to ensure solutions are scalable, secure, and supportable.
• Provide architectural and design guidance for ML pipelines and model lifecycle management.
• Review designs and key technical decisions to 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, including data privacy, model risk, transparency, bias awareness, and auditability.
• Drive continuous improvement through retrospectives, metrics, and adoption of best practices.

• Employees at KLA are often offered competitive pay with bonuses, a 401(k) match, an employee stock purchase program, and financial perks like student-debt assistance, planning support, and group insurance discounts. Health and lifestyle benefits typically include medical/dental/vision, life and other voluntary coverages, paid time off and holidays, family leave, backup care, wellness rewards, gym discounts, and community-volunteering opportunities. Employees also get strong growth support through tuition reimbursement, KLA’s corporate learning center, education awards, and engineering certification programs.