Enterprise AI Platform Governance & Operations Lead

Lam Research Corp

Fremont, CA

JOB DETAILS
SALARY
$125,000–$270,000 Per Year
SKILLS
Agile Programming Methodologies, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Best Practices, Change Management, Cloud Computing, Communication Skills, Computer Security, Cost Control, Cross-Functional, Equal Employment Opportunity (EEO), Establish Priorities, Functional Programming Languages, GitHub, Information/Data Security (InfoSec), Leadership, Legal, Licensing, Medical Genetics, Metrics, Microsoft Product Family, Microsoft Windows Azure, Military, Multiplatform/Cross-Platform, Neo4j, Presentation/Verbal Skills, Programming Tools, Project Management Professional (PMP), Project/Program Management, Reliability Engineering, Risk Analysis, Risk Management, Scrum Project Management and Software Development, Semiconductors, Software Development Lifecycle (SDLC), Software Engineering, Standards Development, Sustainability, Systems Administration/Management, Technical Leadership, Technical Support, Trend Analysis, User Interface/Experience (UI/UX)
LOCATION
Fremont, CA
POSTED
22 days ago

## 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.

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.

About the Company

L

Lam Research Corp

From smartphones and tablets to wearables and automobiles, it’s hard to go more than a few hours without using a semiconductor-enabled device. The semiconductor industry touches nearly every person on the planet, and chipmakers continue to advance the technology that powers it all.    

As a trusted partner to the world’s leading semiconductor companies, we welcome challenges and we deliver. That’s why, today, nearly every advanced chip is built with Lam technology.   

Our innovative wafer fabrication equipment and services allow chipmakers to build smaller and better performing devices. We combine superior systems engineering, technology leadership, and a strong values-based culture, with an unwavering commitment to our customers. 

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Hardware
FOUNDED
1980
WEBSITE
https://careers.lamresearch.com/search/