Senior AI Engineer, Agentic AI

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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:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

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.