AI/ML Data Architect

Job Description

Emp Type: W2 (No C2C)

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

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Workplace Type: Onsite- Baskin Ridge NJ

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Experience: 15+ Yrs

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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.

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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.

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Key Responsibilities

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AI/ML & Data Architecture

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• Define enterprise AI/ML and data architecture roadmap for telecom OSS/BSS ecosystems.

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• Design scalable batch and real-time data platforms supporting network, service, customer, and operational analytics.

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• Architect AI-powered solutions for:

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• Predictive Maintenance

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• Fault Prediction

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• Root Cause Analysis (RCA)

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• Capacity Forecasting

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• Customer Experience Analytics

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• Churn Prediction

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• Network Optimization

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• Service Assurance

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• Design MLOps platforms supporting model development, deployment, monitoring, and governance.

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Telecom OSS/BSS Architecture

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• Architect integrations across:

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• Inventory Management

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• Provisioning

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• Activation

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• Service Fulfillment

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• Service Assurance

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• Workforce Management

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• Performance Management

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• Fault Management

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• Drive OSS modernization initiatives and migration from legacy systems to cloud-native platforms.

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• Align architecture with TM Forum standards including SID, eTOM, ODA, and Open APIs.

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GenAI & Advanced Analytics

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• Design and implement Generative AI solutions for telecom operations.

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• Build AI copilots for NOC/SOC operations.

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• Implement RAG-based architectures using LLMs for telecom knowledge management and operational automation.

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• Drive AI governance, responsible AI, explainability, and model monitoring frameworks.

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Cloud & Data Engineering

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• Architect cloud-native data ecosystems on AWS, Azure, or GCP.

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• Design enterprise Data Lakes, Lakehouse, and Data Mesh architectures.

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• Implement streaming architectures using Kafka, Spark Streaming, Flink, Kinesis, or Pub/Sub.

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• Drive data quality, metadata management, lineage, cataloging, and governance initiatives.

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Required Skills

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Telecom Domain

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• OSS/BSS Architecture

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• Service Fulfillment

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• Service Assurance

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• Inventory Management

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• Network Operations Center (NOC)

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• 4G/5G Networks

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• Fiber Networks

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• SD-WAN

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• TM Forum Standards (SID, eTOM, ODA, Open APIs)

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AI/ML

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• Machine Learning

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• Deep Learning

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• Generative AI

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• LLMs

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• NLP

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• Predictive Analytics

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• Time-Series Forecasting

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• MLOps

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• Responsible AI

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Data Technologies

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• Snowflake

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• Databricks

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• Hadoop

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• Spark

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• Kafka

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• Flink

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• Delta Lake

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• Data Lakehouse

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• Data Modeling

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• ETL/ELT

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Cloud

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• AWS

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• Azure

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• GCP

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• Kubernetes

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• Docker

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• Terraform

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Programming

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• Python

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• PySpark

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• SQL

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• Scala

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• Java

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Visualization

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• Tableau

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• Power BI

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• Looker

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• Grafana

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Preferred Qualifications

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• Experience with Verizon, AT&T, T-Mobile, Rogers, Telus, BT, Vodafone, or other Tier-1 Telecom providers.

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• Experience implementing AI use cases for Network Operations and Service Assurance.

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• Knowledge of Ericsson, Nokia, Netcool, TIRKS, Cramer, ServiceNow, Splunk, Openet, or similar telecom platforms.

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• TOGAF Certification.

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• Cloud Architect Certification (AWS/Azure/GCP).

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• Master's Degree in Computer Science, Data Science, Telecommunications, or related field.

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Nice to Have

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• Agentic AI platforms (LangGraph, LangChain, AutoGen, CrewAI)

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• Vector Databases (Pinecone, Milvus, Weaviate)

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• Knowledge Graphs

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• NVIDIA AI ecosystem

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• Telecom Digital Twin solutions

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• Autonomous Network (AN) architecture experience.

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

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Please forward your resume and contact details to sahithi_s@surgetechinc.com /dakshayani_p@surgetechinc.com .