AI/ML Data Architect

Emp Type: W2 (No C2C)

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

Workplace Type: Onsite- Baskin Ridge NJ

Experience: 15+ Yrs

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.

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 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.

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

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/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. xhyhwjd

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

Please forward your resume and contact details to / .