AI Solutions lead

In your career, let’s prove what’s possible. At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible. Date: Jul 14, 2026 Location: Fremont, CA, US, 94538 Worker Category: On-site Flex The group you’ll be a part of The Office of the CTO is where innovation takes center stage. We inspire our global technicalcommunity to take on grand challenges, understand emerging trends, identify the criticalinflections, and drive our sustainability, Environment, Social, and Governance (ESG) practicesthat will define the next generation of semiconductors and continued impact. The impact you’ll make Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions. What you’ll do Design end-to-end AI solutions on Lam's shared AI platform — AI Foundry, Agent Runtime & Orchestration, Knowledge Service, and Ontology — grounded in enterprise data. Translate business problems into reusable solution patterns that delivery teams can adopt across R&D and enterprise use cases. Serve as the technical bridge between Platforms & Technology and the AI Delivery Execution and AI Product Management teams, ensuring platform capabilities are applied consistently. Lead solution and design reviews, and define and enforce architectural standards for agentic, RAG, and orchestration-based solutions. Embed security, governance, compliance, and cost-efficiency into solution designs by default, reducing IP and data-access risk across the enterprise. Champion reuse of common platform primitives over duplicated point solutions, driving interoperability and lowering total cost of ownership. Partner with product managers, AI governance, and engineering teams to take solutions from architecture through production deployment. Who we’re looking for Bachelor's or Master's in Computer Science, Engineering, or a related field, with 10+ years of AI engineering experience, including significant time as a hands‑on solution or enterprise architect. Proven experience architecting enterprise‑scale AI/GenAI solutions — including agentic frameworks, retrieval‑augmented generation (RAG), and orchestration — as reusable, interoperable patterns. Deep knowledge of GenAI orchestration frameworks (e.g., LangChain, LangGraph) and agent communication standards (e.g., MCP). Solid understanding of various ML and DL frameworks and In‑depth understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real‑world advantages/drawbacks Demonstrated expertise with Transformer architectures — including attention mechanisms, encoder‑decoder designs, and fine ‑ tuning foundational models for NLP, CV, or multi ‑ modal tasks. Hands ‑ on experience building and optimizing Transformer‑based systems, including RAG pipelines, embedding models, vector databases, and efficient inference techniques. Demonstrated ability to act as a single technical authority — leading design reviews, resolving cross‑team architectural trade‑offs, and influencing without direct authority. Strong grasp of security, governance, and compliance considerations for AI systems operating on enterprise and R&D data. Experience with knowledge/ontology services, semantic layers, and enterprise data foundations. Preferred qualifications Experience developing AI solutions on cloud platforms such as Azure and/or Databricks. Familiarity with full‑stack software or data science development Strong communication skills, able to convey decisions to both technical and business audiences. Our commitment 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. CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00. 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. Nearest Major Market: San Francisco Nearest Secondary Market: Oakland Job Segment: Cloud, Computer Science, Software Engineer, Engineer, Technology, Engineering, Research #J-18808-Ljbffr