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# Technology Architect | Telecom | OSS/BSS

- **Company:** Ipolarity LLC
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $156,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), 4G (Telecommunication), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Graph Database, Monitoring of Systems, Tivoli Management Framework, Python (Programming Language), Knowledge Management, Machine Learning, Meta-Data Management, Power BI, Cloud Services, Tableau (Software), Wide Area Networks, Digital Twin, Computer Network Operations, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Snowflake, Grafana, Apache Spark, Deep Learning, Generative AI, Togaf, Event Driven Architecture, Containerization, Data Lakes, Pyspark, Kubernetes, Information Technology, Apache Flink, Real Time Data, Apache Kafka, OSS/BSS, Spark Streaming, Data Management, Machine Learning Operations, Data Lakehouse, Terraform, Splunk, Stream Analytics, Looker Analytics, Docker, Network Optimization, Legacy Systems, Servicenow, Databricks
- **Published:** September 30, 2026
- **Apply:** https://www.careerjet.com/jobad/us75bc7c61ba154fd56d6c360559ffdca7

## About the Role

Experience with Verizon, AT&T, T-Mobile, Rogers, Telus, BT, Vodafone, or other Tier-1 Telecom providers.
Experience implementing AI use cases for Network Operations and Service Assurance.
Knowledge of Ericsson, Nokia, Netcool, TIRKS, Cramer, ServiceNow, Splunk, Openet, or similar telecom platforms.
TOGAF Certification.
Cloud Architect Certification (AWS/Azure/GCP).
Master's Degree in Computer Science, Data Science, Telecommunications, or related field.
Nice to Have
Agentic AI platforms (LangGraph, LangChain, AutoGen, CrewAI)
Vector Databases (Pinecone, Milvus, Weaviate)
Knowledge Graphs
NVIDIA AI ecosystem
Telecom Digital Twin solutions
Autonomous Network (AN) architecture experience.
Ideal Level: Principal Architect / Enterprise Architect / CTA-level candidate with 15-20+ years of telecom experience and strong AI-led OSS transformation background.

## Description

Seeking a highly experienced Senior AI/ML Data Architect with deep expertise in Telecom OSS/BSS systems, Network Operations, AI/ML, GenAI, Data Platforms, and Cloud Architecture. The ideal candidate will lead enterprise-scale AI-driven transformation initiatives focused on network intelligence, service assurance, predictive operations, automation, customer analytics, and OSS modernization.
This role will define AI-enabled data architecture strategy, design scalable data platforms, and drive next-generation telecom solutions leveraging AI/ML, GenAI, real-time analytics, and cloud-native technologies., AI/ML & Data Architecture
Define enterprise AI/ML and data architecture roadmap for telecom OSS/BSS ecosystems.
Design scalable batch and real-time data platforms supporting network, service, customer, and operational analytics.
Architect AI-powered solutions for:
Predictive Maintenance
Fault Prediction
Root Cause Analysis (RCA)
Capacity Forecasting
Customer Experience Analytics
Churn Prediction
Network Optimization
Service Assurance
Design MLOps platforms supporting model development, deployment, monitoring, and governance.
Telecom OSS/BSS Architecture
Architect integrations across:
Inventory Management
Provisioning
Activation
Service Fulfillment
Service Assurance
Workforce Management
Performance Management
Fault Management
Drive OSS modernization initiatives and migration from legacy systems to cloud-native platforms.
Align architecture with TM Forum standards including SID, eTOM, ODA, and Open APIs.
GenAI & Advanced Analytics
Design and implement Generative AI solutions for telecom operations.
Build AI copilots for NOC/SOC operations.
Implement RAG-based architectures using LLMs for telecom knowledge management and operational automation.
Drive AI governance, responsible AI, explainability, and model monitoring frameworks.
Cloud & Data Engineering
Architect cloud-native data ecosystems on AWS, Azure, or GCP.
Design enterprise Data Lakes, Lakehouse, and Data Mesh architectures.
Implement streaming architectures using Kafka, Spark Streaming, Flink, Kinesis, or Pub/Sub.
Drive data quality, metadata management, lineage, cataloging, and governance initiatives.
Leadership
Provide architectural leadership across distributed engineering and data science teams.
Interface with client executives, business stakeholders, and telecom operations leadership.
Lead solution workshops, architecture reviews, PoCs, and AI transformation programs.
Required Skills
Telecom Domain
OSS/BSS Architecture
Service Fulfillment
Service Assurance
Inventory Management
Network Operations Center (NOC)
4G/5G Networks
Fiber Networks
SD-WAN
TM Forum Standards (SID, eTOM, ODA, Open APIs)
AI/ML
Machine Learning
Deep Learning
Generative AI
LLMs
NLP
Predictive Analytics
Time-Series Forecasting
MLOps
Responsible AI
Data Technologies
Snowflake
Databricks
Hadoop
Spark
Kafka
Flink
Delta Lake
Data Lakehouse
Data Modeling
ETL/ELT
Cloud
AWS
Azure
GCP
Kubernetes
Docker
Terraform
Programming
Python
PySpark
SQL
Scala
Java
Visualization
Tableau
Power BI
Looker
Grafana


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