Lead AI Architect — Agentic & Multi-Agent Systems

Applied Materials; Austin (TX); On-site; USD 176,000 - 242,000; Full time

Job summary

Applied Materials in Austin, Texas, is hiring an AI Architect to lead the design and deployment of Agentic AI and multi-agent systems for manufacturing challenges. You will drive agent development using modern frameworks and build scalable AI platforms, knowledge graphs, and governance practices.

The role requires 7+ years in software/AI, strong Python skills, and deep expertise in Generative AI and enterprise AI architectures.

Qualifications

• Recognized expert in Generative AI, Agentic AI, multi-agent architectures, and enterprise AI platforms.
• Deep expertise in LLMs, RAG, vector databases, knowledge graphs, AI orchestration frameworks, ML, and cloud-native architectures.
• Strong hands-on software engineering with Python and modern AI frameworks.
• Ability to design scalable, production-ready AI systems across domains.

Responsibilities

• Lead architecture, design, and implementation of Agentic AI and multi-agent systems solving manufacturing challenges.
• Drive development of AI agents using modern frameworks to enable decision intelligence and automation.
• Build scalable AI platforms including agent memory, retrieval, knowledge graphs, and enterprise AI architectures.
• Collaborate with stakeholders to identify AI use cases and translate them into production-grade solutions.
• Establish AI engineering practices covering LLMOps, governance, observability, security, and model optimization.

Job description

Applied Materials in Austin, Texas, is hiring an AI Architect to lead the design and deployment of Agentic AI and multi-agent systems for manufacturing challenges. You will drive agent development using modern frameworks and build scalable AI platforms, knowledge graphs, and governance practices.

The role requires 7+ years in software/AI, strong Python skills, and deep expertise in Generative AI and enterprise AI architectures.