Technology Architect | Telecom | OSS/BSS

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., 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. Leadership Provide architectural leadership across distributed engineering and data science teams. Interface with client executives, business stakeholders, and telecom operations leadership. Lead solution workshops, architecture reviews, PoCs, and AI transformation programs. 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

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.