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.
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