Agentic AI & Telecom Billing Transformation Lead (Only W2)

Philadelphia, PA, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

  • Agentic AI
  • Telecom Billing Transformation
  • Telecom
  • AI Governance
  • Risk & Compliance
  • Stakeholder Management
  • AI/ML
  • BSS
  • OSS
  • COTS platforms
  • enerative AI
  • NumPy
  • Pandas
  • PyTorch
  • TensorFlow
  • API
  • Flask
  • FASTAPI
  • Django
  • ML lifecycle
  • SQL
  • MLOPS
  • AWS
  • AZURE ML
  • GCP
  • RAG
  • GenAI Frameworks
  • Data Engineering
  • Vector Databases
  • Cloud Platforms
  • Cloud AI Services
  • Telecom Domain

Summary

Job Title/Role: Senior Lead Agentic AI & Telecom Billing Transformation
Job Location: NJ or Philadelphia, PA

JD:

Key Responsibilities

  • Agentic AI Strategy & Program Ownership
  • Architecture & Solution Design
  • AI Governance, Risk & Compliance
  • Leadership & Stakeholder Management

Required Experience & Skills

Experience

  • 5+ yearsof 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 enablement

Technical 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 Google Cloud Platform AI Platform; Git, Docker, CI/CD pipelines

Preferred Qualifications

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

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


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90941404
  • Position Id: 8985631
  • Posted 6 hours ago
Contact the job poster
Ankit Verma

Ankit Verma

Tekfortune Inc. Recruiter @ Tekfortune Inc.
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