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JobsKLA

AI Architect - Manager

KLA

AI Architect - Manager

KLA

Chennai, India

·

On-site

·

Full-time

·

1w ago

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’re looking for an AI Architect – Manager who Is responsible for defining and delivering enterprise AI, ML, and Generative AI solutions while leading and developing technical teams.

This role combines hands-on technical leadership with people management, partnering across engineering, product, platform, and business teams to deliver secure, scalable, and production‑ready AI capabilities aligned with business priorities.

Key Responsibilities

  • Shape AI architecture and direction by defining scalable AI, ML, and Generative AI solutions that align with business priorities and enterprise standards.
  • Guide solutions from concept to production, supporting teams as they move from early exploration through deployment with a focus on reliability, performance, and long‑term maintainability.
  • Support and develop engineering teams through coaching, technical guidance, and clear goal setting, helping individuals grow while delivering high‑quality outcomes.
  • Collaborate across teams, working closely with product, platform, security, and business partners to translate needs into practical, well‑aligned technical approaches.
  • Strengthen AI delivery foundations by encouraging consistent MLOps and LLMOps practices, including automation, monitoring, observability, and responsible AI principles.

Preferred Qualifications

  • Experience with MLOps/LLMOps practices (CI/CD, model/version management, deployment, monitoring, observability)
  • Familiarity with responsible AI practices across the solution lifecycle
  • Experience with Generative AI frameworks or tooling (for example: Lang Chain, Llama Index, LLM APIs)

Minimum Qualifications

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
  • 1+ years Experience designing and delivering AI/ML solutions used in production
  • 2+ years Experience leading technical projects and supporting team delivery

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

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.

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About KLA

KLA

KLA

Public

KLA Corporation is an American company based in Milpitas, California that makes wafer fab equipment. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries.

10,001+

Employees

Milpitas

Headquarters

Reviews

3.6

26 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

3.6

Career

3.1

Management

3.4

65%

Recommend to a Friend

Pros

Good management and supportive leadership

Competitive compensation and benefits package

Strong engineering department and talented peers

Cons

Limited career growth and promotion opportunities

Work-life balance issues with long hours

Chaotic work environment with minimal direction

Salary Ranges

0 data points

L4

L5

L4 · Data Scientist

0 reports

$147,667

total / year

Base

-

Stock

-

Bonus

-

$125,532

$169,802

Interview Experience

14 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Offer Rate

57%

Experience

Positive 36%

Neutral 36%

Negative 28%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview Rounds

5

Final Round/Onsite

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience