Lead Member of Technical Staff - AI Systems Engineer

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Overview AT&T is seeking an experienced Lead Member of Technical Staff (AI Systems Engineer) to join the Residential Gateway Operations Engineering team. This role focuses on building AI‑powered operational systems that improve the reliability, performance, and customer experience of AT&T’s broadband and Wi‑Fi ecosystem. The ideal candidate combines strong software engineering expertise with practical experience applying Generative AI and LLM technologies to solve complex operational challenges. You will develop intelligent systems that analyze telemetry, automate troubleshooting, accelerate root‑cause analysis, and enable more autonomous network operations at scale. What You'll Do: 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. What You'll Bring: 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. 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. Our Lead Member of Technical Staff earns between $180,200.00 and $270,400 USD annually, with the exact starting salary depending on geography, experience, expertise, and education or training. Joining our team comes with amazing perks and benefits: Medical/Dental/Vision coverage 401(k) plan Tuition reimbursement program Paid Time Off and Holidays (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 #LI-Onsite – Full‑time office role- Weekly Hours: 40 Time Type: Regular Location: Bothell, Washington, USA : TX: Plano / W Plano Pkwy - Adm: 3400 W Plano Pkwy Salary Range: $180,200.00 – $270,400.00 It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. #J-18808-Ljbffr AT&T