AI/ML Data Architect

Job Description

Emp Type: W2 (No C2C)

\n

Visa: Green Card, US Citizens (Only USA Applicants)

\n

Workplace Type: Onsite- Baskin Ridge NJ

\n

Experience: 15+ Yrs

\n

\n

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.

\n

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.

\n

Key Responsibilities

\n

AI/ML & Data Architecture

\n

\n
• Define enterprise AI/ML and data architecture roadmap for telecom OSS/BSS ecosystems.
\n
• Design scalable batch and real-time data platforms supporting network, service, customer, and operational analytics.
\n
• Architect AI-powered solutions for:
\n
• Predictive Maintenance
\n
• Fault Prediction
\n
• Root Cause Analysis (RCA)
\n
• Capacity Forecasting
\n
• Customer Experience Analytics
\n
• Churn Prediction
\n
• Network Optimization
\n
• Service Assurance
\n
• Design MLOps platforms supporting model development, deployment, monitoring, and governance.
\n

\n

Telecom OSS/BSS Architecture

\n

\n
• Architect integrations across:
\n
• Inventory Management
\n
• Provisioning
\n
• Activation
\n
• Service Fulfillment
\n
• Service Assurance
\n
• Workforce Management
\n
• Performance Management
\n
• Fault Management
\n
• Drive OSS modernization initiatives and migration from legacy systems to cloud-native platforms.
\n
• Align architecture with TM Forum standards including SID, eTOM, ODA, and Open APIs.
\n

\n

GenAI & Advanced Analytics

\n

\n
• Design and implement Generative AI solutions for telecom operations.
\n
• Build AI copilots for NOC/SOC operations.
\n
• Implement RAG-based architectures using LLMs for telecom knowledge management and operational automation.
\n
• Drive AI governance, responsible AI, explainability, and model monitoring frameworks.
\n

\n

Cloud & Data Engineering

\n

\n
• Architect cloud-native data ecosystems on AWS, Azure, or GCP.
\n
• Design enterprise Data Lakes, Lakehouse, and Data Mesh architectures.
\n
• Implement streaming architectures using Kafka, Spark Streaming, Flink, Kinesis, or Pub/Sub.
\n
• Drive data quality, metadata management, lineage, cataloging, and governance initiatives.
\n

\n

\n

Required Skills

\n

Telecom Domain

\n

\n
• OSS/BSS Architecture
\n
• Service Fulfillment
\n
• Service Assurance
\n
• Inventory Management
\n
• Network Operations Center (NOC)
\n
• 4G/5G Networks
\n
• Fiber Networks
\n
• SD-WAN
\n
• TM Forum Standards (SID, eTOM, ODA, Open APIs)
\n

\n

AI/ML

\n

\n
• Machine Learning
\n
• Deep Learning
\n
• Generative AI
\n
• LLMs
\n
• NLP
\n
• Predictive Analytics
\n
• Time-Series Forecasting
\n
• MLOps
\n
• Responsible AI
\n

\n

Data Technologies

\n

\n
• Snowflake
\n
• Databricks
\n
• Hadoop
\n
• Spark
\n
• Kafka
\n
• Flink
\n
• Delta Lake
\n
• Data Lakehouse
\n
• Data Modeling
\n
• ETL/ELT
\n

\n

Cloud

\n

\n
• AWS
\n
• Azure
\n
• GCP
\n
• Kubernetes
\n
• Docker
\n
• Terraform
\n

\n

Programming

\n

\n
• Python
\n
• PySpark
\n
• SQL
\n
• Scala
\n
• Java
\n

\n

Visualization

\n

\n
• Tableau
\n
• Power BI
\n
• Looker
\n
• Grafana
\n

\n

\n

Preferred Qualifications

\n

\n
• Experience with Verizon, AT&T, T-Mobile, Rogers, Telus, BT, Vodafone, or other Tier-1 Telecom providers.
\n
• Experience implementing AI use cases for Network Operations and Service Assurance.
\n
• Knowledge of Ericsson, Nokia, Netcool, TIRKS, Cramer, ServiceNow, Splunk, Openet, or similar telecom platforms.
\n
• TOGAF Certification.
\n
• Cloud Architect Certification (AWS/Azure/GCP).
\n
• Master's Degree in Computer Science, Data Science, Telecommunications, or related field.
\n

\n

Nice to Have

\n

\n
• Agentic AI platforms (LangGraph, LangChain, AutoGen, CrewAI)
\n
• Vector Databases (Pinecone, Milvus, Weaviate)
\n
• Knowledge Graphs
\n
• NVIDIA AI ecosystem
\n
• Telecom Digital Twin solutions
\n
• Autonomous Network (AN) architecture experience.
\n

\n

\n

Ideal Level: Principal Architect / Enterprise Architect / CTA-level candidate with 15-20+ years of telecom experience and strong AI-led OSS transformation background.

\n

\n

Please forward your resume and contact details to View email address on ziprecruiter.com /View email address on ziprecruiter.com .