Expert System Engineering - Charging & Usage Platforms

AT&T AT&T · Telecom · Alpharetta, GA +1

This role focuses on designing and evolving large-scale charging, usage rating, and network data processing platforms. While the primary focus is on these core systems, the role also involves applying AI and advanced automation to improve efficiency, accuracy, and throughput, with an enterprise platform mindset.

What you'd actually do

  1. Design and evolve large-scale charging, usage rating, and network data processing platforms that support real-time and high-volume monetization of network traffic.
  2. Architect scalable, high-performance systems that ingest, process, rate, and distribute usage data across complex BSS and downstream ecosystems.
  3. Translate charging and usage business requirements into end-to-end technical designs, ensuring accuracy, performance, and reliability at scale.
  4. Serve as the primary technical owner for charging and usage initiatives, accountable for architecture decisions, roadmap execution, and delivery outcomes.
  5. Apply AI and advanced automation to improve rating accuracy, throughput, anomaly detection, and delivery efficiency.

Skills

Required

  • 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.
  • 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.

Nice to have

  • Master's degree (MS/MA) desired in Computer Science

What the JD emphasized

  • AI-enabled modernization
  • enterprise platform mindset
  • AI and advanced automation