AI Solutions Lead

Lam Research

Confirmed live today High trust
Hybrid

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $224k
$121k $327k
below market most similar roles pay here above market

This role pays more than 74% of similar roles. Most pay $155,000–$230,100 — the blue band above. At the midpoint, this role pays about $224k versus about $193k for comparable roles.

Based on 240 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 137 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 82 roles with salary data.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · AI Solutions Lead

The AI Solutions lead joins the Office of the CTO to design and program methods for analyzing unstructured big data into actionable insights. This role involves developing algorithms and automated processes to evaluate large datasets from disparate sources. You will design end-to-end AI solutions on a shared platform, translating business problems into reusable solution patterns for R&D and enterprise use cases. Key responsibilities include leading design reviews, enforcing architectural standards for agentic, RAG, and orchestration-based solutions, and embedding security and governance into designs. Required expertise includes LangChain, LangGraph, MCP, Transformer architectures, and vector databases. You must demonstrate proficiency with machine learning techniques like clustering and neural networks while managing knowledge services and semantic layers to solve complex technical problems within the semiconductor industry.

What you'll do

  • Design end-to-end AI solutions on the shared AI platform using enterprise data.
  • Translate business problems into reusable solution patterns for R&D and enterprise use cases.
  • Lead solution design reviews and enforce architectural standards for agentic, RAG, and orchestration-based systems.
  • Embed security, governance, compliance, and cost-efficiency into all solution designs by default.
  • Champion the reuse of common platform primitives to drive interoperability and lower total cost of ownership.
  • Partner with product managers and engineering teams to move solutions from architecture to production deployment.
  • Analyze unstructured big data to develop algorithms and automated processes for actionable insights.

What we're looking for

  • Bachelor's or Master's in Computer Science, Engineering, or a related field.
  • 10+ years of AI engineering experience, including significant time as a hands-on solution or enterprise architect.
  • Proven experience architecting enterprise-scale AI/GenAI solutions including agentic frameworks, RAG, and orchestration as reusable patterns.
  • Deep knowledge of GenAI orchestration frameworks like LangChain or LangGraph and agent communication standards like MCP.
  • Solid understanding of ML/DL frameworks and techniques including clustering, decision trees, and artificial neural networks.
  • Demonstrated expertise with Transformer architectures, including attention mechanisms, encoder-decoder designs, and fine-tuning foundational models.
  • Hands-on experience building and optimizing RAG pipelines, embedding models, vector databases, and efficient inference techniques.
  • Experience developing AI solutions on cloud platforms such as Azure and/or Databricks (preferred).

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