Agentic AI And Telecom Billing Transformation

• The Agentic AI & Telecom Billing Transformation role will be responsible for designing and delivering AI-driven transformation solutions within telecom Business Support Systems (BSS) and Operations Support Systems (OSS).
• The role focuses on leveraging Agentic AI, machine learning, and telecom domain expertise to modernize billing, customer experience, and end-to-end telecom service operations.

Requirement/Must Have:

• 5+ years of experience in AI/ML development with strong Python-based solution delivery.
• Strong experience in telecom BSS and OSS domains including fixed, mobile, IoT, and converged services.
• Experience designing end-to-end BSS solutions across sales, marketing, product, finance, and customer care functions.
• Hands-on experience with telecom B/OSS platforms such as Amdocs, Netcracker, Comarch, or Ericsson.
• Strong understanding of TM Forum standards and telecom industry processes.
• Experience in 5G architecture, including network slicing and service enablement concepts.

Experience:

• Experience in AI/ML model development, training, evaluation, and deployment lifecycle.
• Experience in Generative AI and Agentic AI frameworks and tools.
• Experience working with cloud-based AI/ML platforms such as AWS, Azure, or Google Cloud Platform.
• Experience in telecom billing transformation or digital transformation programs.
• Experience in data engineering, including SQL, data preprocessing, and visualization tools.

Responsibilities:

• Define and drive Agentic AI strategy and program execution.
• Design end-to-end AI-based architecture and solution frameworks.
• Ensure AI governance, compliance, and risk management across implementations.
• Lead stakeholder engagement and provide strategic direction for telecom transformation initiatives.
• Develop and deploy AI/ML models using Python-based frameworks.
• Build and integrate Generative AI solutions using tools such as LangChain, Hugging Face, and LlamaIndex.
• Develop APIs and web services using Flask, FastAPI, or Django.
• Manage full ML lifecycle including training, evaluation, monitoring, and drift management.
• Implement data pipelines for ingestion, preprocessing, and visualization.
• Work with cloud MLOps platforms for deployment and scaling of AI models.

Should Have:

• Experience with CI/CD pipelines, Docker, Git, and MLOps frameworks.
• Exposure to telecom billing modernization and transformation programs.
• Strong understanding of data visualization tools such as Power BI or Streamlit.

Skills:

• Strong Python programming skills including NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Strong expertise in Generative AI and Agentic AI frameworks.
• Strong knowledge of telecom BSS/OSS systems and architecture.
• Strong API development skills using modern web frameworks.
• Strong cloud AI/ML platform experience (AWS, Azure, or Google Cloud Platform).
• Strong analytical, design, and problem-solving skills.

Qualification And Education:

• Bachelor s or Master s degree in Computer Science, Data Science, or related field.
• Certifications or specialization in AI/ML, Deep Learning, or Generative AI preferred.