Senior AIOps Reliability Engineer — Hybrid/On‑Site

Lam Research Salzburg GmbH; Fremont (CA); Hybrid; USD 92,000 - 211,000; Full time

Job summary

Lam Research seeks a Senior AI Observability Engineer to design and ship the AI‑native operations layer for a hybrid enterprise estate. You will build LLM‑based agents, retrieval pipelines, and ML‑driven anomaly detection across cloud and on‑prem environments.

This is a hands‑on, individual contributor role requiring strong SRE fundamentals and cloud‑agnostic thinking. You’ll own the reliability of both infrastructure and AI systems, implementing safe automation, data governance, and scalable

Qualifications

• Eight+ years in SRE/DevOps, observability, or platform engineering.
• Production experience with LLM applications and retrieval‑augmented generation.
• Experience with cloud providers and private data centers; cloud‑agnostic design.

Responsibilities

• Build AI workflows using LLM agents and orchestration frameworks.
• Develop the AIOps intelligence layer across infra, network and telemetry.
• Engineer knowledge fabric by chunking and indexing runbooks and docs into a vector store.
• Ship AI‑assisted incident response with automated summaries and root‑cause analysis.
• Automate remediation with guardrails, least privilege, and audit trails.

Skills

LLM apps

AIOps

SRE/DevOps

Cloud platforms

Education

CS degree or equivalent

Tools

LangGraph

Semantic Kernel

AutoGen

Model Context Protocol

Vector databases

Job description

Lam Research seeks a Senior AI Observability Engineer to design and ship the AI‑native operations layer for a hybrid enterprise estate. You will build LLM‑based agents, retrieval pipelines, and ML‑driven anomaly detection across cloud and on‑prem environments.

This is a hands‑on, individual contributor role requiring strong SRE fundamentals and cloud‑agnostic thinking. You’ll own the reliability of both infrastructure and AI systems, implementing safe automation, data governance, and scalable