Senior Lead – Agentic AI & Telecom Billing Transformation | Skills | Related skills | Mandatory | Skill Level | #of Years used, project where used |
| AI / Machine Learning | | Yes | Intermediate | |
| Generative AI | | Yes | Expert | |
| RAG & Knowledge Systems | | Yes | Expert | |
| Agentic AI | | Yes | Expert | |
| GenAI Frameworks | | Yes | Expert | |
| Programming & APIs | | Yes | Expert | |
| Data Engineering | | Yes | Intermediate | |
| Vector Databases | | Yes | Advanced | |
| Cloud Platforms | | Yes | Intermediate | |
| Cloud AI Services | | Optional | Intermediate | |
| DevOps / MLOps / LLMOps | | Yes | Advanced | |
| Containerization & Deployment | | Yes | Intermediate | |
| Monitoring & Observability | | Optional | Basic | |
| Security & Compliance | | Yes | Intermediate | |
| Telecom Domain | | Optional | Basic | |
| Analytics & Visualization | | Yes | Intermediate | |
Key Responsibilities
Agentic AI Strategy & Program Ownership
Architecture & Solution Design
AI Governance, Risk & Compliance
Leadership & Stakeholder Management
Required Experience & Skills
Experience
5+ years of experience in
AI/ML development , with strong Pythonbased solution delivery
Deep domain experience in
Telecom BSS & OSS , covering fixed, mobile, IoT, and converged services
Strong experience designing
endtoend BSS solutions across Sales, Marketing, Product, Finance, and Customer Care
Handson experience with major
telecom B/OSS COTS platforms (Amdocs, Netcracker, Comarch, Ericsson)
Solid understanding of
TM Forum standards and processes
Experience with 5G architecture and core concepts , including network slicing and service enablementTechnical Skills
Programming: Python (NumPy, Pandas, Scikitlearn, PyTorch, TensorFlow)
Generative AI & Agentic AI: OpenAI, LangChain, Hugging Face Transformers, LlamaIndex
Web & API Development: Flask, FastAPI, or Django
ML Lifecycle: Model training, evaluation, deployment, monitoring, and drift management
Data Engineering: Data ingestion, preprocessing, visualization (SQL, Pandas, Power BI, Streamlit)
Cloud & MLOps: AWS SageMaker, Azure ML, or GCP AI Platform; Git, Docker, CI/CD pipelines
Preferred Qualifications
Bachelor's or Master's degree in
Computer Science, Data Science, or related fieldCertification or specialization in
AI/ML, Deep Learning, or Generative AI