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Telecom Network Jobs in Montclair, NJ (NOW HIRING)

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Telecom Network information

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$73

How much do telecom network jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for telecom network in Montclair, NJ is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $62.93 per hour, depending on experience, location, and employer.

What is a telecom network?

A telecom network is a system of interconnected devices and infrastructure that enables the transmission of voice, data, and video communications over distances. These networks include components like switches, routers, transmission lines, and wireless technologies that work together to connect users and devices. Telecom networks are essential for providing phone, internet, and other communication services to individuals and businesses. They can be wired or wireless and often span local, national, or even global areas.

What are careers in telecommunications?

Careers in telecommunications include roles such as network engineers, technicians, and system administrators who design, maintain, and troubleshoot communication networks. These jobs often require technical skills, knowledge of networking protocols, and certifications like Cisco or CompTIA. They typically involve working in office or field environments and may require on-call availability for network issues.

What is the difference between Telecom Network vs Telecom Technician?

AspectTelecom NetworkTelecom Technician
Required CredentialsNetworking certifications (e.g., Cisco, CompTIA Network+), relevant degreesTechnical certifications (e.g., Cisco, CompTIA A+), on-the-job training
Work EnvironmentDesign, planning, and overseeing network infrastructure; office and fieldInstalling, maintaining, and repairing telecom equipment; fieldwork
Employer & Industry UsageTelecom companies, network providers, ISPsTelecom service providers, installation companies, maintenance firms
Common Search & ComparisonFocuses on network design and managementFocuses on hands-on installation and repair

Telecom Network professionals typically handle the design and management of telecom infrastructure, requiring advanced networking certifications. Telecom Technicians focus on installing and repairing telecom equipment, often working directly in the field. Both roles are essential in the telecom industry but differ in responsibilities and skill sets.

Is working in a telecom network a good career?

Working in a telecom network involves roles such as network technician, engineer, or installer, focusing on maintaining and expanding communication infrastructure. It offers opportunities for technical skill development, certifications, and job stability due to the ongoing demand for communication services. The field often requires problem-solving skills, technical knowledge, and adaptability to new technologies like 5G and fiber optics.

What are the key skills and qualifications needed to thrive in telecom network roles?

To thrive in a Telecom Network role, you need a solid background in network engineering, telecommunications protocols, and a relevant degree such as in computer science or electrical engineering. Familiarity with tools like network analyzers, Cisco equipment, and certifications such as CCNA or CompTIA Network+ are commonly required. Strong problem-solving abilities, teamwork, and effective communication skills help professionals stand out in this field. These competencies ensure reliable network performance, efficient troubleshooting, and successful collaboration in a rapidly evolving industry.

What are some common challenges faced by professionals working in telecom network roles, and how can they be addressed?

Professionals in Telecom Network roles often face challenges such as maintaining network reliability during high-traffic periods, troubleshooting complex connectivity issues, and keeping up with rapidly evolving technologies. Addressing these challenges requires strong analytical skills, ongoing professional development, and effective collaboration with cross-functional teams such as IT support and network engineers. Staying current with industry certifications and participating in knowledge-sharing within the team can also help mitigate these challenges and ensure smooth network operations.
What job categories do people searching Telecom Network jobs in Montclair, NJ look for? The top searched job categories for Telecom Network jobs in Montclair, NJ are:
Telecom Network jobs near you

IT - Project Manager | Telecom | OSS/BSS

Spruce Infotech

Basking Ridge, NJ • On-site

Full-time

Re-posted 24 days ago

Job description

POC: Raju
PM Feedback on 5/25/2026= All submitted profile are either Data Architect or AI /ML, we are not getting combination of folks who have experience and expertise on both Data Architecture along with AI/ML .
Please ask vendor to go through JD submitted and submit qualifying profiles ASAP . We are open for rate flexibility, request to get experienced profiles (20+ years of experience) with TELECOM background . Based on assessment, we can close rate .
Role - Senior AI/ML Data architect -Need Sourcing
Location - Baskin Ridge ,NJ
Vendor rate -XXX
Work Mode - Hybrid (Client)
Job Description ,
We are seeking a Senior AI/ML Data Architect with strong expertise in Large Language Models (LLMs), AI agents, large-scale data systems, and end-to-end data pipeline creation, specifically within the Telecom domain. This role is responsible for architecting AI-ready data platforms that power intelligent automation, advanced analytics, and agent-based decision systems across OSS/BSS, network operations, and customer engagement.
The ideal candidate will bridge data architecture, AI/ML enablement, and telecom domain intelligence, enabling scalable, governed, and high-performance AI solutions.
Key Responsibilities:
LLM & AI Agent Architecture
Design and implement LLM-enabled architectures, including RAG (Retrieval-Augmented Generation) solutions using structured and unstructured telecom data.
Architect and govern AI agents and multi-agent systems for automation, diagnostics, decision support, and workflow orchestration.
Enable secure integration of LLMs and agents with enterprise data platforms, APIs, and business systems.
Define best practices for prompt engineering, model orchestration, evaluation, and feedback loops.
Large-Scale Data Architecture
Lead the design of large-scale, cloud-native data platforms capable of processing high-volume, high-velocity telecom data.
Architect low-latency and batch data ecosystems handling CDRs, network telemetry, logs, KPIs, customer interactions, and documents.
Select and implement appropriate data architecture patterns such as Lakehouse, Streaming-first, and Data Mesh.
Data Pipelines & Engineering
Design and oversee end-to-end data pipelines covering ingestion, transformation, enrichment, feature creation, and serving layers.
Build AI-ready pipelines optimized for LLM training, inference, agent context retrieval, and model lifecycle management.
Ensure real-time and batch pipeline reliability using observability, data quality checks, and automated monitoring.
Implement CI/CD-driven pipeline deployments and versioning.
Telecom Domain Enablement
Partner with OSS, BSS, Network Engineering, IT, and Business teams to translate telecom use cases into scalable AI data solutions.
Apply deep understanding of telecom KPIs, network layers, subscriber data, and operational workflows.
Enable AI use cases including:
Network anomaly detection & root-cause analysis
Intelligent NOC and assurance automation
Customer experience analytics & churn prediction
Fraud detection and revenue assurance
Governance, Security & Compliance
Define and enforce data governance, lineage, metadata management, and access control for large data and AI systems.
Ensure compliance with data privacy regulations and secure AI usage across platforms.
Establish responsible AI and LLM governance frameworks.
Technical Leadership
Act as a domain expert and solution authority for AI/ML data architecture.
Define architectural standards, reference models, and reusable frameworks.
Mentor engineers, architects, and data teams.
Contribute to enterprise AI and data transformation roadmaps.
Required Skills & Experience
Experience
12+ years in data engineering, data architecture, or analytics platforms
5+ years working in the Telecom domain (Network, OSS/BSS, 4G/5G)
Proven experience delivering LLM-based and AI-driven data platforms
Technical Skills
Strong expertise in LLMs, RAG architectures, and enterprise AI integration
Hands-on experience designing AI agents and agent orchestration frameworks
Deep knowledge of large-scale data systems (batch & streaming)
Expertise in creating robust, scalable data pipelines
Strong understanding of ML pipelines, feature engineering, and AI lifecycle needs
Advanced SQL and data modeling skills
Cloud experience with enterprise-scale AI and data workloads
Domain & Soft Skills
Strong telecom data and operations knowledge
Ability to translate complex technical designs into business value
Excellent communication, stakeholder engagement, and leadership skills

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