The Enterprise AI team helps Lam scale responsible, secure, and high-value use of AI across the company. The team works across enterprise AI platforms, developer tools, data and knowledge platforms, observability, adoption, and governance to enable teams to build and use AI capabilities with confidence.
The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.
In this role, you will directly contribute to Lam’s enterprise AI strategy by helping shape how AI platforms are governed, operated, adopted, and scaled across the company. You will partner across IT, Security, Legal, Data, Engineering, and business teams to enable responsible AI adoption while improving platform reliability, user experience, cost transparency, and operational maturity.
- Lead cross-functional programs for enterprise AI platforms, including AI governance, platform operations, adoption, change management, and lifecycle management.
- Help define and operationalize standards for responsible AI usage, access management, data handling, observability, compliance, and platform best practices.
- Partner with technical teams to support well-architected platform setup and operations across tools such as Azure AI Foundry, GitHub Copilot, Langfuse, Neo4j, M365 AI capabilities, Dash Enterprise, and related AI platforms.
- Drive adoption and enablement for AI capabilities by creating clear operating models, communications, training plans, user engagement, and feedback loops.
- Establish program metrics, governance forums, intake processes, roadmaps, and reporting to improve visibility, prioritization, and executive decision-making.
- Support AI FinOps practices, including usage tracking, cost optimization, licensing visibility, and value measurement.
- Identify risks and operational gaps across AI tools and workflows, then partner with stakeholders to drive scalable solutions.
- Work in an onsite-flex model with collaboration across global teams.
Minimum Qualifications:
- Bachelor’s degree with 12+ years of experience; or Master’s degree with 8+ years of experience; or PhD with 5+ years of experience; or equivalent experience.
- 8+ years of experience in technical program management, enterprise technology programs, AI/ML platforms, cloud platforms, data platforms, or digital transformation.
- Experience leading cross-functional programs across technical, security, governance, and business stakeholders.
- Experience creating operating models, roadmaps, metrics, executive communications, and change management plans.
- Strong communication and executive presentation skills with the ability to translate technical topics for different audiences.
- Experience with enterprise AI, generative AI, responsible AI, AI governance, MLOps, LLMOps, or AI platform operations.
- Familiarity with platforms such as Azure AI Foundry, GitHub Copilot, Langfuse, Neo4j, Microsoft 365 Copilot, Dash Enterprise, or similar enterprise AI tools.
- Experience with governance areas such as identity and access, data protection, risk management, compliance, auditability, model/application lifecycle, or usage monitoring.
- Experience with cloud cost management, platform adoption, developer enablement, or technology change management.
- Experience working in a large global enterprise or highly regulated technology environment.
- Program or change management certifications such as PMP, Prosci, Agile, Scrum, or equivalent are a plus.
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: $125,000.00 - $270,000.00.
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.
Skills Required
- Bachelor’s degree with 12+ years of experience, master’s degree with 8+ years, PhD with 5+ years, or equivalent experience
- 8+ years of experience in technical program management, enterprise technology programs, AI/ML platforms, cloud platforms, data platforms, or digital transformation
- Experience leading cross-functional programs across technical, security, governance, and business stakeholders
- Experience creating operating models, roadmaps, metrics, executive communications, and change management plans
- Strong communication and executive presentation skills, including translating technical topics for different audiences
- Experience with enterprise AI, generative AI, responsible AI, AI governance, MLOps, LLMOps, or AI platform operations
- Familiarity with Azure AI Foundry, GitHub Copilot, Langfuse, Neo4j, Microsoft 365 Copilot, Dash Enterprise, or similar enterprise AI tools
- Experience with identity and access, data protection, risk management, compliance, auditability, model or application lifecycle, or usage monitoring
- Experience with cloud cost management, platform adoption, developer enablement, or technology change management
- Experience working in a large global enterprise or highly regulated technology environment
- Program or change management certification such as PMP, Prosci, Agile, Scrum, or equivalent
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
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Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
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Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
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Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/
