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Digitally driven BPM, AI, and automation solutions

AI/ML Data Architect

Posted: 7 days ago• Recruiter recently active
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Java
Hadoop
Machine Learning
SQL
Automation
Network Optimization
Inventory Management
Provisioning
Scala
Predictive Analytics
Tableau
Governance
Cloud Architecture
Azure
Snowflake
Kafka
Network Operations
Network Operations Center (NOC)
Spark
Deep Learning
Performance Management
Docker
Workforce Management
Data Modeling
Data Quality
AWS
Network Analytics
Model Governance
Looker
Kubernetes
Fault Prediction
Terraform
cataloging
Customer Analytics
Metadata Management
Pyspark
eTOM
Grafana
Kinesis
Spark Streaming
Flink
Service Assurance
Predictive Maintenance
NLP
Activation
Model development
Operational Analytics
Power BI
GCP
FAULT MANAGEMENT
Customer Experience Analytics
databricks
Churn Prediction
Data Lakes
Integrations
ETL/ELT
Pub/Sub
AI/ML
Data Platforms
MLOps
Delta Lake
Responsible AI
Model Deployment
AI Governance
Model Monitoring
SD-Wan
Generative AI
Soc Operations
Data Lakehouse
LLMs
Time-Series Forecasting
GenAI
Explainability
Root Cause Analysis (RCA)
Generative AI Solutions
ODA
AI-Powered Solutions
Ai Copilots
Real-Time Analytics
Lakehouse Architectures
Cloud-Native Platforms
Cloud-Native Technologies
Open APIs
Fiber Networks
NOC Operations
Lineage
Operational Automation
MLOps Platforms
Cloud-Native Data Ecosystems
Scalable Data Platforms
TM Forum Standards
Streaming Architectures
SID
Data Mesh Architectures
Service Analytics
Capacity Forecasting
RAG-Based Architectures
Network Intelligence
Model Monitoring Frameworks
Predictive Operations
Service Fulfillment
OSS/BSS Architecture
4G/5G Networks
Batch and Real-Time Data Platforms
OSS Modernization
Telecom Knowledge Management
Telecom OSS/BSS Systems
Enterprise-Scale AI-Driven Transformation
AI-Enabled Data Architecture Strategy
Next-Generation Telecom Solutions
AI/ML & Data Architecture
Enterprise AI/ML and Data Architecture Roadmap
Telecom OSS/BSS Ecosystems
Scalable Batch and Real-Time Data Platforms
Telecom OSS/BSS Architecture
OSS Modernization Initiatives
Migration from Legacy Systems to Cloud-Native Platforms
GenAI & Advanced Analytics
Generative AI Solutions for Telecom Operations
AI Copilots for NOC/SOC Operations
RAG-Based Architectures Using LLMs
Cloud & Data Engineering

About the job

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_[email protected] /dakshayani_[email protected] .