AI Platform Engineer: Internal Deployment

KLA; Ann Arbor Charter Township (MI); On-site; USD 111,900 - 190,200; Full time

Job summary

KLA seeks a skilled AI Platform Engineer based in Ann Arbor to bridge AI development with business needs. You will own the internal AI platform, build scalable infrastructure, and deploy capabilities across teams, aligning R&D with production use.

The role demands deep ML experience, Python expertise, and leadership in AI engineering. You will design persistent memory and context systems, enable plugin distributions, and ensure secure, scalable on-prem deployments.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field; Master’s preferred
• 3+ years of experience building and operating ML/AI systems in production, including ownership of production-grade infrastructure
• Strong proficiency in Python and experience with ML frameworks and model fine-tuning techniques
• Hands-on experience with inference optimization and model serving infrastructure, including on-prem deployment patterns
• Experience building internal tools, platform infrastructure, or developer experience layers that other engineers or non-technical users depend on
• Experience designing plugin architectures, marketplace systems, or extensible platform components that scale adoption
• Experience building persistent memory, context management, or personalization systems for AI products
• Working knowledge of CI/CD, containerization, orchestration, and Infrastructure-as-Code
• Experience designing evaluation harnesses and automated testing for AI systems
• Strong understanding of data governance and security - comfortable operating within tiered data handling policies
• Owns outcomes, not tasks - you identify what needs to happen and drive it without being managed
• Technical leadership experience: mentoring engineers, leading design reviews, setting standards
• Prior experience in semiconductor, manufacturing, or scientific/industrial ML is a plus

Responsibilities

• Build and enhance AI products and tools for the business, owning product quality and reliability end to end
• Deploy AI capabilities into KLA's teams, serving as the bridge between R&D and production use
• Own the internal AI infrastructure - the foundational layer that removes friction, compounds organizational learning, and scales without adding headcount
• Architect and maintain reusable infrastructure: agent scaffolding, eval frameworks, and integration patterns
• Design and build persistent context and memory systems that make AI environments personalized and progressively more useful over time
• Build skill and plugin distribution systems that let one person's breakthrough become everyone's baseline
• Design and operate on-prem inference infrastructure for deployments where data cannot leave the network
• Fine-tune or adapt foundation models on proprietary data where it creates meaningful capability uplift
• Build CI/CD pipelines for agents: testing, evaluation, versioning, and rollback
• Set technical standards and mentor junior engineers; lead design reviews and define golden paths for development
• Track the AI frontier at a deep technical level - not just what shipped but how it works and what it changes about what's possible

Skills

Python

ML frameworks

Model fine-tuning

AI infrastructure

CI/CD tooling

Containerization

On-prem deployment

Tooling for agents

Education

Doctorate

Master's preferred

Tools

CI/CD tooling

Containerization

On-prem deployment

Job description

KLA seeks a skilled AI Platform Engineer based in Ann Arbor to bridge AI development with business needs. You will own the internal AI platform, build scalable infrastructure, and deploy capabilities across teams, aligning R&D with production use.

The role demands deep ML experience, Python expertise, and leadership in AI engineering. You will design persistent memory and context systems, enable plugin distributions, and ensure secure, scalable on-prem deployments.