Enterprise AI is building the foundation for Lam’s AI-first future. We partner across business, data, engineering, security, and technology teams to create scalable AI platforms, governed agent architectures, AI-ready knowledge assets, and reusable solution patterns that help Lam accelerate innovation, improve operations, and turn proprietary domain expertise into durable enterprise advantage.
As an AI Ontology Knowledge Architect, you will define and help build how Lam represents, governs, connects, and operationalizes enterprise meaning for AI. This is a hands-on architecture role at the intersection of ontology architecture, semantic modeling, data pipelines, knowledge engineering, agentic AI, and domain understanding.
You will not only create reference architectures and standards—you will be directly involved in making them real. You will work with engineers, domain experts, platform teams, and AI solution teams to turn architectural patterns into working ontology models, knowledge assets, integration pipelines, MCP-enabled tools, and agent-ready semantic services.
Your work will help ensure that AI systems, copilots, and agents understand business context, reason over trusted knowledge, operate within governed boundaries, and enable decisions and actions that are explainable, reusable, and scalable.
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $166,000.00 - $350,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
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