Lead AI Engineer

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

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You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

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 On-Prem, Databricks, Azure AI Foundry, and AWS.

Mentor junior engineers, drive architecture reviews, establish engineering best practices, and collaborate with product and business stakeholders.

Functional Knowledge

• Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

• Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Leadership

• May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

• Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

• Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies

Interpersonal Skills

• Communicates difficult concepts and negotiates with others to adopt a different point of view

Required Qualifications

• BS/MS in Computer Science, AI/ML, Data Science, or Software Engineering
• 5 to 10 years of software engineering experience
• 3 or more years of AI/ML experience
• Strong expertise in Python, PyTorch, Transformers, LLMs, and vector databases
• Experience building production AI systems

Preferred Qualifications

• Experience with Agentic AI, Multimodal AI, and AI Observability
• Hands-on experience with LangGraph and Azure AI Foundry
• Semiconductor domain knowledge

Additional Information

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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.