AI Solutions lead - US-CA-Fremont (1003), United States
$141,000 - $307,000 USD yearly
Originally posted 15 June 2026 by the employer.
About the role
As an AI Solutions lead within the Office of the CTO, you will design end-to-end AI solutions on Lam's shared AI platform grounded in enterprise data.
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. - 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. - Lead solution and design reviews, defining and enforcing architectural standards for agentic, RAG, and orchestration-based solutions. - Embed security, governance, compliance, and cost-efficiency into solution designs to reduce IP and data-access risk. - Partner with product managers, AI governance, and engineering teams to deploy solutions from architecture through production deployment.
What you'll need
- Bachelor's or Master's in Computer Science, Engineering, or a related field, with 10+ years of AI engineering experience, including hands-on experience as a solution or enterprise architect. - Proven experience architecting enterprise-scale AI/GenAI solutions, including agentic frameworks, retrieval-augmented generation (RAG), and orchestration. - Deep knowledge of GenAI orchestration frameworks (e.g., LangChain, LangGraph) and agent communication standards (e.g., MCP). - Solid understanding of ML and DL frameworks, machine learning techniques (clustering, decision tree learning, artificial neural networks), and their real-world trade-offs. - Demonstrated expertise with Transformer architectures, including attention mechanisms, encoder–decoder designs, fine-tuning foundational models, vector databases, and efficient inference techniques. - Experience with knowledge/ontology services, semantic layers, and enterprise data foundations.
Nice to have
- Experience developing AI solutions on cloud platforms such as Azure and/or Databricks. - Familiarity with full-stack software or data science development.
Skills: AI solutions, GenAI, Transformer architectures, MLIR, LLVM
This role has been open 130 days — well above the 85-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
85 d
|
Median salary
$236k
|
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 (509 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 79 | 6298 · 144 employers |
| Median days open | 76 d | 85 d (−9 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI solutions, GenAI, Transformer architectures, MLIR, LLVM
Who's hiring in this category
- Qualcomm · 104 open roles · median 114 d
- NVIDIA · 89 open roles · median 56 d
- AMD · 38 open roles · median 96 d
- Micron Technology · 27 open roles · median 58 d
- Mobileye · 20 open roles · median 83 d
- Analog Devices · 18 open roles · median 41 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 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 — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.