AI Solutions Lead

Lam Research

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Fremont, CA
Salary
$141,000–$307,000 / yr
Posted
88 days ago
Freshness
Confirmed live 2 days ago
Closes
Dec 12, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $224k
$121k most similar roles pay here $327k

This role pays more than 69% of similar roles. Most pay $160,675–$235,750 — the shaded band above. At the midpoint, this role pays about $224k versus about $198k for comparable roles.

Based on 239 similar postings.

Employer

About Lam Research

Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.

Lam Research currently has 299 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 141 roles with salary data.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · AI Solutions Lead

As an AI Solutions lead within the Office of the CTO, you will design end-to-end AI solutions on a shared platform including Agent Runtime, Orchestration, and Knowledge Services. You will translate complex business problems into reusable solution patterns for R&D and enterprise use cases while serving as a technical bridge between product management and engineering teams. Your daily work involves leading design reviews, enforcing architectural standards for agentic, RAG, and orchestration-based systems, and ensuring security and cost-efficiency are embedded by default. You will utilize technologies such as LangChain, LangGraph, and MCP, while working with Transformer architectures, vector databases, and embedding models. The role focuses on solving technical challenges related to processing unstructured big data into actionable insights within the semiconductor industry, specifically addressing requirements for high-scale enterprise AI systems and robust data governance.

What you'll do

  • Design end-to-end AI solutions on the company's shared platform using enterprise data.
  • Translate complex business problems into reusable solution patterns for R&D and enterprise use cases.
  • Act as a technical bridge between technology, delivery execution, and product management teams.
  • Lead design reviews and enforce architectural standards for agentic, RAG, and orchestration-based solutions.
  • Integrate security, governance, compliance, and cost-efficiency into all AI solution designs.
  • Promote the use of common platform primitives to ensure interoperability and reduce costs.
  • Manage the lifecycle of AI solutions from initial architecture through production deployment.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of AI engineering experience including time as a hands-on solution or enterprise architect.
  • Proven experience architecting enterprise-scale AI/GenAI solutions using agentic frameworks, RAG, and orchestration.
  • Deep knowledge of GenAI orchestration frameworks like LangChain and LangGraph, and agent communication standards like MCP.
  • In-depth understanding of machine learning techniques, including clustering, decision tree learning, and artificial neural networks.
  • Demonstrated expertise with Transformer architectures, fine-tuning foundational models, and optimizing RAG pipelines and vector databases.
  • Ability to act as a technical authority by leading design reviews and resolving cross-team architectural trade-offs.
  • Strong understanding of security, governance, and compliance for AI systems operating on enterprise data.

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