Enterprise AI Experience & Adoption Lead - US-CA-Fremont (1003), United States
$125,000 - $270,000 USD yearly
Originally posted 12 June 2026 by the employer.
About the role
In this role, you will contribute to Lam's enterprise AI strategy by shaping how AI platforms are governed, operated, adopted, and scaled across the company. The Enterprise AI team works across enterprise AI platforms, developer tools, data and knowledge platforms, observability, adoption, and governance.
What you'll do
- Lead cross-functional programs for enterprise AI platforms, including AI governance, platform operations, adoption, change management, and lifecycle management. - 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, and Dash Enterprise. - 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, partnering with stakeholders to implement scalable solutions.
What you'll need
- Bachelor’s degree with 12+ years of experience, 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.
Nice to have
- 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.
Skills: enterprise AI strategy, AI governance, platform operations, adoption, change management
This role has been open 133 days — well above the 70-day median for Technical Program Management roles.
Technical Program Management · AI ML Hardware
|
Open roles in category
63
|
Median days open
70 d
|
Median salary
$237k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Lam Research | All employers we track in this specialty (63 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 63 |
| Median days open | 72 d | 70 d (+2 d vs this employer) |
| Median salary (USD postings) | — | $237k |
Skills observed across this category: enterprise AI strategy, AI governance, platform operations, adoption, change management
Who's hiring in this category
- NVIDIA · 13 open roles · median 86 d
- Micron Technology · 12 open roles · median 18 d
- Qualcomm · 7 open roles · median 77 d
- AMD · 6 open roles · median 50 d
- Tenstorrent · 4 open roles · median 72 d
- Lam Research (this employer) · 3 open roles · median 71 d
How we counted: 63 open Technical Program Management (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 23 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.