Principal Machine Learning Engineer, Agentic AI
Zillow
At a glance
AI generatedThe Agentic AI Systems Engineer at Applied Materials is a senior-level role responsible for building the agentic infrastructure that enables next-generation GenAI applications, bridging AI, software infrastructure, and domain engineering to ensure secure and deterministic systems. Day-to-day responsibilities include architecting an end-to-end skill framework across various programming languages like Java, Python, C++, and web-based codebases; designing a multi-agent runtime with persistent background agents for continuous operation; and developing deep code understanding systems for semantic search and structural analysis. The role requires strong system-level thinking, proficiency in AI/ML integration, and experience building developer tooling or platform infrastructure in large-scale environments. Key technologies include Java, Python, C++, and web-based frameworks, alongside advanced agentic patterns and on-prem LLM deployment expertise. This position is integral to Applied Materials' mission of pushing the boundaries of science and engineering for next-generation technology advancements.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$208,500 range sits above 35% of similar postings on FindRole.
Peer median band
$168,500–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$161,875–$246,687
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment
Applied Materials currently has 65 open roles on FindRole.
Listed pay typically runs $141,000–$193,500 across 65 roles with salary data.
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