Lead Member of Technical Staff, AI Systems Engineer

AT&T

Quick summary

Work type: On-site
Location: Plano, TXBothell, WA
Salary: $180,200–$270,400 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k

This role $225k

$169k most similar roles pay here $281k

This role pays more than 58% of similar roles. Most pay $180,000–$246,150 — the shaded band above. At the midpoint, this role pays about $225k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 71 open roles on FindRole.

Listed pay typically runs $128,400–$192,600 across 67 roles with salary data.

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View all roles at AT&T

At a glance

TL;DR · Lead Member of Technical Staff, AI Systems Engineer

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AT&T is hiring a Lead Member of Technical Staff (AI Systems Engineer) to join the Residential Gateway Operations Engineering team, focusing on developing AI-powered systems that enhance network reliability and customer experience for millions of broadband and Wi-Fi users. This role involves designing intelligent solutions that analyze telemetry data, automate troubleshooting, and enable autonomous operations at scale, while collaborating with networking and platform engineering teams to integrate advanced AI capabilities into production environments. The ideal candidate has extensive experience in software engineering, particularly with Python and modern development practices, as well as hands-on expertise in implementing Generative AI solutions like LLMs and RAG architectures. They should also be proficient in cloud-native technologies and real-time analytics platforms, ensuring systems are reliable, observable, and secure for large-scale deployment.

Skills

Python LLMs RAG prompt-engineering CI/CD Apache Pinot AIOps Kubernetes Terraform Docker PostgreSQL Prometheus Grafana

What you'll do

Design and develop AI-driven operational platforms using LLMs and automation frameworks.
Build intelligent systems to detect anomalies, identify root causes, and automate issue triage in gateway environments.
Develop RAG, prompt-engineering, and agentic AI workflows for engineering teams.
Ensure production services process high-volume telemetry datasets reliably and securely.
Integrate AI capabilities into CI/CD pipelines and incident management workflows.
Collaborate with network and Wi-Fi engineering teams to translate domain expertise into scalable AI solutions.

What we're looking for

5+ years of experience in software engineering or related technical roles.
Strong proficiency in Python and modern software development practices.
Experience designing and operating production-grade distributed systems.
Hands-on experience with Generative AI solutions, including LLMs and RAG.
Strong understanding of system reliability, observability, debugging, and operational excellence.
Ability to collaborate across networking, platform engineering, and AI disciplines.

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