Lead AI Systems Engineer

AT&T

Lead Member of Technical Staff for AI Systems Engineering at AT&T. Developing AI-driven operational platforms for broadband and Wi-Fi networks to enhance performance and user experience.

Posted 6/29/2026full-timeBothell • Texas, Washington • 🇺🇸 United StatesSenior💰 $180,200 - $270,400 per yearWebsite

Tech Stack

Tools & technologies

ApacheCloudDistributed SystemsPython

About the role

Key responsibilities & impact

Build AI systems that directly operate and optimize production networks at massive scale.
Influence customer experience for millions of broadband and Wi-Fi users.
Partner with experts across networking, platform engineering, and AI disciplines.
Help shape the future of AI-driven operations and intelligent automation at AT&T.
Play a key role in delivering next-generation connectivity experiences, including Wi-Fi 7 and emerging broadband technologies.
Design, develop, and deploy AI-driven operational platforms leveraging LLMs, automation frameworks, and large-scale data pipelines.
Build intelligent solutions that detect anomalies, identify root causes, and automate issue triage across gateway and broadband environments.
Develop LLM-based applications that analyze logs, telemetry, and operational data to generate actionable insights.
Create Retrieval-Augmented Generation (RAG), prompt-engineering, and agentic AI workflows that support engineering and operational teams.
Develop and maintain production services that process high-volume telemetry and operational datasets.
Integrate AI capabilities into CI/CD pipelines, release validation processes, and incident management workflows.
Collaborate with network, Wi-Fi, and platform engineering teams to translate domain expertise into scalable AI solutions.
Ensure systems are reliable, observable, secure, and production-ready.
Continuously improve AI models, workflows, and operational effectiveness based on real-world feedback and outcomes.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in software engineering, systems engineering, platform engineering, or equivalent technical roles.
Strong proficiency in Python and modern software development practices.
Experience designing and operating production-grade distributed systems, services, or data pipelines.
Hands-on experience implementing Generative AI solutions, including LLMs, RAG architectures, prompt engineering, and AI workflows.
Strong understanding of system reliability, observability, debugging, and operational excellence.
Preferred Qualifications
Experience with real-time analytics and telemetry platforms such as Apache Pinot or similar technologies.
Experience applying AI/ML solutions to operational challenges, including AIOps, incident management, or log analysis.
Familiarity with cloud-native architectures and distributed computing environments.
Experience integrating AI into software engineering workflows, including CI/CD and automated testing.
Knowledge of networking technologies, Wi-Fi systems, or large-scale connected device ecosystems.
Demonstrated ability to solve ambiguous operational problems through scalable technical solutions.

Benefits

Comp & perks

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone.

ATS Keywords

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Hard Skills & Tools

Software EngineeringSystems EngineeringPlatform EngineeringData Pipeline DevelopmentLLM DevelopmentPrompt EngineeringAutomation FrameworksOperational Data AnalysisDebuggingIncident Management

Soft Skills

CollaborationProblem Solving