Job Title: AI/ML Data Architect Telco OSS
Location: Baskin Ridge ,NJ (Hybrid 3 days a week)

Type: Contract Position

Role Overview
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.

Key Responsibilities

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 Google Cloud Platform.
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
Google Cloud Platform
Kubernetes
Docker
Terraform

Programming

Python
PySpark
SQL
Scala
Java

Visualization

Tableau
Power BI
Looker
Grafana

Preferred Qualifications

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/Google Cloud Platform).
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.

Telecom AI/ML Data Architect

Key skills

About this role