Agentic AI And Telecom Billing Transformation

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today! We are looking for Agentic AI And Telecom Billing Transformation for our client in Philadelphia, PA Job Title: Agentic AI And Telecom Billing Transformation Job Location: Philadelphia, PA Job Type: Contract Job Overview: Pay Range: $60hr - $65hr • We are seeking a highly experienced professional to lead Agentic AI initiatives and telecom billing transformation programs. • The role involves end-to-end ownership of AI strategy, architecture design, governance, and stakeholder management within telecom BSS and OSS environments. Requirement/Must Have: • Minimum of 5+ years of experience in AI and machine learning development with strong Python-based solution delivery. • Deep domain expertise in telecom BSS and OSS across fixed, mobile, IoT, and converged services. • Strong experience in designing end-to-end BSS solutions across sales, marketing, product, finance, and customer care. • Hands-on experience with telecom BSS and OSS platforms. • Solid understanding of telecom standards and processes. • Experience with 5G architecture and core concepts including network slicing and service enablement. Experience: • Experience in leading AI strategy and program ownership. • Experience in architecture and solution design for AI-driven systems. • Experience in AI governance, risk management, and compliance. • Experience in leadership and stakeholder management. Responsibilities: • Lead Agentic AI strategy and program ownership initiatives. • Design and implement scalable AI and telecom billing transformation solutions. • Define and enforce AI governance, risk, and compliance frameworks. • Collaborate with cross-functional stakeholders to align solutions with business goals. • Provide leadership and direction across technical and business teams. Should Have: • Experience with cloud-based AI and MLOps platforms. • Knowledge of data engineering and visualization tools. Skills: • Programming in Python and related libraries. • Generative AI and agentic AI frameworks. • Web and API development. • Machine learning lifecycle management. • Data engineering and visualization. • Cloud platforms and MLOps practices. Qualification And Education: • Bachelor s or Master s degree in Computer Science, Data Science, or a related field. • Certification or specialization in AI, machine learning, deep learning, or generative AI.