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About the Role

We are seeking a technical leader to architect, design, and implement Agentic AI solutions and Multi-Agent Systems. You will drive the development of AI agents using modern frameworks to solve complex business and manufacturing challenges, enabling decision intelligence, workflow automation, and operational optimization. This role involves building scalable AI platforms and collaborating with stakeholders to translate AI use cases into production-grade solutions.

Responsibilities

Lead the architecture, design, and implementation of Agentic AI solutions and Multi-Agent Systems.
Drive the development of AI agents using modern frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents, Azure AI Foundry).
Serve as a hands-on technical leader responsible for building scalable AI platforms, including agent orchestration, memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs, ontologies, and enterprise AI architectures.
Lead the development of advanced AI capabilities, including reasoning agents, planning agents, orchestration agents, code-generation agents, analytics agents, and domain-specific copilots.
Collaborate with business stakeholders, product teams, engineers, data scientists, and subject matter experts to identify high-value AI use cases and translate them into production-grade AI solutions.
Establish AI engineering best practices covering LLMOps, AI governance, evaluation frameworks, observability, security, safety, prompt engineering, context engineering, model optimization, and continuous improvement.
Architect and develop enterprise AI platforms leveraging Azure AI, Databricks, Python, vector databases, graph databases, cloud-native technologies, and modern machine learning frameworks.
Build and optimize agent memory architectures, semantic layers, knowledge repositories, and enterprise ontologies.
Lead proof-of-concept development, rapid prototyping, and production deployments while ensuring scalability, reliability, maintainability, and measurable business value.
Mentor and guide AI engineers and data scientists while remaining actively involved in coding, architecture reviews, solution design, model development, and technical problem solving.
Stay current with emerging advances in Generative AI, Agentic AI, foundation models, reasoning systems, and autonomous agents, driving adoption of innovative technologies across the organization.

Requirements

Recognized technical expert in Generative AI, Agentic AI, Multi-Agent Architectures, and Enterprise AI Platforms.
Deep expertise in Large Language Models (LLMs), RAG, vector databases, knowledge graphs, AI orchestration frameworks, machine learning, and cloud-native architectures.
Strong hands-on software engineering capabilities with Python and modern AI development frameworks.
Demonstrated ability to design scalable, production-ready AI systems across multiple technology domains.
Anticipates emerging AI technology trends and identifies opportunities to create competitive advantages through AI-driven automation and intelligence.
Partners with business leaders to define AI strategy, prioritize use cases, and deliver measurable business outcomes through autonomous and intelligent systems.
Understands manufacturing, supply chain, engineering, operational, and enterprise business processes and how Agentic AI can transform them.
Leads complex AI transformation initiatives from strategy through implementation and production deployment.
Drives cross-functional teams delivering enterprise-scale Agentic AI and automation solutions.
Influences technical direction, architecture standards, and AI governance across the organization.
Solves highly complex and ambiguous business and technical problems through innovative application of AI, machine learning, and autonomous agent technologies.
Develops novel approaches for reasoning, planning, orchestration, workflow automation, and knowledge-driven decision making.
Balances experimentation and innovation with production-grade engineering principles.
Influences enterprise AI strategy, technology investments, architecture decisions, and adoption of next-generation AI capabilities.
Delivers scalable AI solutions that improve productivity, operational performance, decision quality, and business agility.
Shapes long-term AI platform roadmaps and standards for the organization.
Communicates complex AI concepts and architectures effectively to executive leadership, technical teams, and business stakeholders.
Drives alignment across diverse organizations and builds consensus around AI strategy and solution approaches.
Effectively mentors teams and promotes adoption of AI best practices across the enterprise.
7+ years of software engineering, data science, machine learning, or AI experience.
3+ years building production-grade AI/ML solutions using Python.
3+ years developing Generative AI, Agentic AI, Multi-Agent Systems, RAG, Knowledge Graphs, or LLM applications.
Experience with Azure AI, Databricks, OpenAI, LangGraph, Semantic Kernel, CrewAI, AutoGen, vector databases, and cloud-native architectures.
Demonstrated track record delivering enterprise-scale AI products from concept through production.

Skills

Generative AI
Agentic AI
Multi-Agent Architectures
Enterprise AI Platforms
Large Language Models (LLMs)
RAG
Vector databases
Knowledge graphs
AI orchestration frameworks
Machine learning
Cloud-native architectures
Python
Azure AI
Databricks
OpenAI
LangGraph
Semantic Kernel
CrewAI
AutoGen

Location

Austin, TX

Work Type

Full time
Travel: Yes, 20% of the Time
Relocation Eligible: Yes

Experience Level

7+ years of software engineering, data science, machine learning, or AI experience
3+ years building production-grade AI/ML solutions using Python
3+ years developing Generative AI, Agentic AI, Multi-Agent Systems, RAG, Knowledge Graphs, or LLM applications

Education Level

Bachelors in Computer Science, Artificial Intelligence or Data Science

Salary/Compensations

$176,000.00 - $242,000.00

Benefits

Supportive work culture that encourages learning, development, and career growth.
Empowerment to push boundaries and learn every day.
Programs and support for personal and professional growth.
Comprehensive benefits package.
Eligibility for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

About the Company

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world.
We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips.
Applied enables the exciting technologies that literally connect our world – like AI and IoT.
Join us to deliver material innovation that changes the world.

Equal Opportunity

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.