Senior AI Engineer, Agentic AI
Role Overview
Applied Materials is seeking a Senior AI Engineer to build production grade AI, Agentic AI, and Generative AI solutions that accelerate engineering, manufacturing, service, and R&D workflows. The engineer will own the full lifecycle of AI products, from solution development, monitoring, optimization, and scaling. The role requires expertise and strong hands-on experience in LLMs, AI agent development, multi-agent orchestration, cloud native architectures, and enterprise AI platforms.
Key Responsibilities
Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions, and build scalable AI services supporting engineering co-pilots and knowledge assistants.
Fine-tune and optimize foundation models, and build embedding pipelines, vector search systems, and agent orchestration frameworks.
Evaluate model performance, hallucination rates, and business impact.
Develop production quality systems using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel, and build APIs and reusable AI services.
Integrate AI solutions with Databricks, Azure AI Foundry, and AWS.
Mentor junior engineers, design architectures, establish engineering best practices, and collaborate with product and business stakeholders.
Independently deliver solutions alongside guiding team members.
Functional Knowledge
Demonstrates depth and/or breadth of expertise in Generative AI with strong fundamentals in software engineering
Business Expertise
Interprets internal/external business challenges and recommends best practices to improve products, processes or services
Problem Solving
Leads to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions
Interpersonal Skills
Communicates advanced concepts and negotiates with others to adopt a different point of view
Proliferation of knowledge, learnings and best practices across the team
Key Skills for This Role
Full Job Posting
Summary
Applied Materials is seeking a Senior AI Engineer to build production grade AI, Agentic AI, and Generative AI solutions that accelerate engineering, manufacturing, service, and R&D workflows. The engineer will own the full lifecycle of AI products, from solution development, monitoring, optimization, and scaling. The role requires expertise and strong hands-on experience in LLMs, AI agent development, multi-agent orchestration, cloud native architectures, and enterprise AI platforms.
Key Responsibilities
Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions, and build scalable AI services supporting engineering co-pilots and knowledge assistants.
Fine-tune and optimize foundation models, and build embedding pipelines, vector search systems, and agent orchestration frameworks.
Evaluate model performance, hallucination rates, and business impact.
Develop production quality systems using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel, and build APIs and reusable AI services.
Integrate AI solutions with Databricks, Azure AI Foundry, and AWS.
Mentor junior engineers, design architectures, establish engineering best practices, and collaborate with product and business stakeholders.
Independently deliver solutions alongside guiding team members.
Functional Knowledge
Demonstrates depth and/or breadth of expertise in Generative AI with strong fundamentals in software engineering
Business Expertise
Interprets internal/external business challenges and recommends best practices to improve products, processes or services
Problem Solving
Leads to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions
Interpersonal Skills
Communicates advanced concepts and negotiates with others to adopt a different point of view
Proliferation of knowledge, learnings and best practices across the team
Required Qualifications
- BS/MS in Computer Science, Data Science, or Software Engineering
- 5 to 8 years of Software Engineering / Machine Learning experience
- End-to-end understanding of development from technical architecture to production deployment
- Strong understanding of system design and SDLC in Enterprise
- 2+ years of hands-on Generative AI experience
- Expertise in Python, LangGraph, Transformers, LLMs, and Integrations
- Experience building production grade, scalable AI systems
Preferred Qualifications
- Experience with Agentic Evals, Full Stack Engineering
- Hands-on experience with LangGraph and Azure Cloud
- Semiconductor domain knowledge
- Additional Information
- Time Type:
- Employee Type:
- Travel:
- Relocation Eligible:
- 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.
About Applied Materials
Global leader in materials engineering for the semiconductor industry.
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