Expert System Engineering – Charging & Usage Platforms

AT&T

Expert Systems Engineer at AT&T designing scalable platforms for network usage monetization. Leading cross-functional initiatives and applying AI for system optimization and sustainability.

Posted 5/6/2026full-timeAlpharetta • Texas • 🇺🇸 United StatesSeniorLead💰 $171,000 - $287,200 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Design and evolve large ‑ scale charging, usage rating, and network data processing platforms that support real ‑ time and high ‑ volume monetization of network traffic.
Architect scalable, high ‑ performance systems that ingest, process, rate, and distribute usage data across complex BSS and downstream ecosystems.
Translate charging and usage business requirements into end ‑ to ‑ end technical designs, ensuring accuracy, performance, and reliability at scale.
Serve as the primary technical owner for charging and usage initiatives, accountable for architecture decisions, roadmap execution, and delivery outcomes.
Lead cross ‑ functional design efforts involving network systems, mediation, rating engines, downstream billing, and data consumers.
Partner closely with vendors and internal platform teams to influence technical roadmaps and ensure seamless system integration.
Conduct deep performance, latency, and reliability analysis, proactively identifying and resolving system bottlenecks and operational risks.
Apply AI and advanced automation to improve rating accuracy, throughput, anomaly detection, and delivery efficiency.
Maintain detailed system and architecture documentation, ensuring compliance with security, risk, and regulatory requirements.
Act as a senior technical leader across domains, influencing broader platform decisions beyond charging and usage.

Requirements

What you’ll need

Proven experience designing charging, usage, mediation, or network ‑ adjacent platforms in large ‑ scale enterprise environments.
Strong system architecture skills spanning real ‑ time processing, high ‑ volume data pipelines, and distributed systems.
Hands ‑ on experience translating business monetization requirements into resilient technical solutions.
Ability to operate across network, platform, software, and cloud environments.
Experience leading complex initiatives through technical influence rather than direct authority.
Master's degree (MS/MA) desired in Computer Science, preferred.
10+ years of related engineering experience.
Deep expertise in charging, usage rating, or network data processing, combined with enterprise ‑ level architectural thinking.
A track record of leading high ‑ impact, cross ‑ domain initiatives tied to revenue ‑ critical systems.
Strong problem ‑ solving skills in ambiguous, high ‑ scale environments.
Comfort engaging with senior and executive leaders as a technical authority and advisor.
An enterprise mindset — able to think beyond a single system and connect solutions across platforms.

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 28 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.
Long Term Grants and Deferred Compensation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

system architecturereal-time processinghigh-volume data pipelinesdistributed systemscharging platformsusage ratingnetwork data processingAIautomationperformance analysis

Soft Skills

problem-solvingtechnical influencecross-functional leadershipcommunicationstrategic thinkingcollaborationadaptabilitymentorshipstakeholder engagementdecision-making

Certifications

Master's degree in Computer Science