Autonomous network Architect Dallas - TX - Texas

Dallas, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract Corp To Corp
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Autonomous Network Architecture

Summary

Autonomous Network Architect

Role Summary

Seeking an Autonomous Network Architect to lead the design and transformation of Level 4 autonomous networks using AI-driven, intent-based, closed-loop, and zero-touch operations.

Key Responsibilities

Define Autonomous Network architecture, strategy, and roadmap.

Design Intent-Based Networking, Closed-Loop Automation, and Zero-Touch Operations.

Build self-healing and self-optimizing network workflows.

Develop AI Agents, LLM, Knowledge Graph, and Reinforcement Learning solutions.

Implement Digital Twins for network simulation and decision validation.

Drive automation across RAN, 5G Core, Transport, Cloud, and Edge.

Establish AI governance, guardrails, explainability, and autonomy KPIs.

Lead architecture teams and support TM Forum Level 4 assessments.

Required Skills

TM Forum Autonomous Networks Framework

Intent-Based Networking & Closed-Loop Automation

AIOps MLOps Agentic AI

LLMs, Multi-Agent Systems, Knowledge Graphs, Reinforcement Learning

Open RAN, Near-RT RIC Non-RT RIC, 5G Core, Network Slicing, NWDAF

Kubernetes OpenShift

AWS Azure Google Cloud Platform

Cloud-Native, Event-Driven Architecture, APIs & DevSecOps

Experience

12+ years in TelecomNetworking.

5+ years in Network Automation, AIOps, or Autonomous Networks.

Proven experience delivering intent-driven or closed-loop autonomous network solutions.

Strong architecture, leadership, and telecom transformation experience.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90911958
  • Position Id: 9072540
  • Posted 3 hours ago
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