Lead, AI Engineer

About This Role

• /Preferred Qualifications Job Description Summary: We are seeking an AI Engineer to lead the design and development of LLM‑powered applications and enterprise‑grade Generative AI solutions.
• This is a hands‑on engineering role focused on building, integrating, and scaling production‑ready GenAI systems, rather than research or traditional data science.
• The ideal candidate is a senior software engineer who has evolved into Generative AI application development, with strong practical experience in LLMs, prompt engineering, RAG architectures, agentic AI workflows, and cloud‑based AI platforms.
• Key Responsibilities: Design and develop Generative AI applications using modern LLM platforms such as Microsoft Foundry (preferred), AWS Bedrock, Claude, OpenAI.
• Build Document Processing / Document Intelligence pipelines, including: OCR, LLM‑based summarization, Classification, data extraction, and validation workflows Design, build, and orchestrate multi‑step AI agents capable of tool usage, reasoning, and task execution.
• Develop custom copilots using Microsoft Copilot Studio.
• Design and implement RAG (Retrieval‑Augmented Generation) solutions using vector search and contextual grounding.
• Build agentic AI workflows and manage LLM orchestration.
• Develop REST APIs and microservices to operationalize AI capabilities using FastAPI and/or Node.js.
• Deploy, monitor, and operate GenAI solutions on Azure and other cloud platforms.
• Required Skills: 5+ years of professional software development experience, with 2+ years of proven experience delivering enterprise‑scale Generative AI solutions.
• Strong experience with LLM orchestration tools such as LangChain, LangGraph, Semantic Kernel, etc.
• Experience building enterprise chatbots using Bot Framework, RAG pipelines, vector search, and multi‑turn conversation handling.
• Hands‑on experience with OCR engines (Azure Form Recognizer, AWS Textract, Tesseract, etc.).
• Strong Python development skills Experience with Microsoft Foundry and Copilot Studio Solid understanding of RAG architectures and vector search Experience with REST APIs, microservices, and cloud‑native development Familiarity with front‑end frameworks (React, Next.js, Angular) to deliver user-facing AI applications.
• Familiarity with CI/CD, Docker, and DevOps practices Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years 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 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 .
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