AI/ML Data Architect Job at Surge Technology Solutions Inc, Basking Ridge, NJ

  • Surge Technology Solutions Inc
  • Basking Ridge, NJ

Job Description

Emp Type: W2 (No C2C)

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

Workplace Type: Onsite- Baskin Ridge NJ

Experience: 15+ Yrs

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.

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 sahithi_s@surgetechinc.com /dakshayani_p@surgetechinc.com .

Job Tags

Night shift

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