As a senior technical lead on Lam’s Enterprise AI team, you will play a pivotal role in building and scaling Azure platform foundations to support secure, reliable, and production-ready AI services across the company. Your responsibilities include designing and implementing scalable infrastructure patterns for Azure-based AI services, partnering with engineering teams to enable deployment and operation of these services, and enhancing observability using tools like Application Insights, Azure Monitor, and KQL. You will also define and improve automation practices, review platform architectures, and ensure compliance with enterprise standards. This role requires hands-on experience with Microsoft Azure infrastructure, Python scripting, CI/CD pipelines, and Kubernetes, as well as a strong background in cloud platform design and support.
Skills
Azure
Python
PowerShell
CI/CD
Application Insights
Azure Monitor
Log Analytics
KQL
Azure API Management
AKS
Kubernetes
What you'll do
Lead design and implementation of Azure platform patterns for secure, scalable AI services.
Build and evolve Azure foundations including networking, identity, access, and deployment patterns.
Enable engineering teams to deploy and operate AI services on Azure platforms.
Define and improve automation and provisioning workflows using Python, PowerShell, CI/CD pipelines.
Enhance observability across Azure AI services with Application Insights, Log Analytics, KQL.
Review architectures for operability, reliability, security, and drive remediation of technical issues.
What we're looking for
Strong hands-on experience designing and building Microsoft Azure cloud platforms.
Expertise in Azure infrastructure, including networking, identity, monitoring, automation, deployment patterns, and production readiness.
Proficiency with Application Insights, Azure Monitor, Log Analytics, and KQL for operational visibility.
Experience with CI/CD pipelines, deployment automation, and production release practices using Python or PowerShell.
Ability to review technical architectures and drive implementation decisions for scalable cloud services.
Knowledge of Azure AI services such as Azure OpenAI/Fortune Foundry and Azure API Management.
Market check
Salary context
This
$141,000–$307,000
range sits above
60%
of similar postings on FindRole.
Peer median band
$170,000–$250,850
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,852–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
217 open roles
on FindRole.
Listed pay typically runs
$114,000–$231,000
across 106 roles with salary data.