Enterprise AI Platform Governance & Operations Lead

The group you’ll be a part of

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.

The impact you’ll make

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. 

What you’ll do

• 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.

Who we’re looking for

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.

Preferred qualifications

• 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.

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.