Autonomous Network Architect

Role Summary

Lead the design and deployment of highly autonomous networks capable of intent-driven operations, autonomous decision-making, self-healing, self-optimization, and continuous learning across multiple network domains. The role focuses on building Level 4 autonomous capabilities where systems analyze, decide, execute, verify, and continuously adapt with minimal human intervention.

Key Responsibilities

Define enterprise-wide Autonomous Network architecture and roadmap.

• Design intent-based networking and autonomous operations frameworks.

• Build end-to-end closed-loop systems covering: o Fault Management o Performance Management o Configuration Management o Service Assurance o Security Operations

• Develop autonomous decision engines using AI Agents, LLMs, knowledge graphs, and reinforcement learning.

• Build self-healing and self-optimizing workflows with automated verification and rollback mechanisms.

• Implement agentic AI frameworks for assurance, optimization, provisioning, change management, and service fulfillment.

• Create Digital Twin environments for simulation and autonomous decision validation.

• Lead cross-domain automation covering RAN, Core, Transport, Cloud, and Edge networks.

• Establish AI governance, guardrails, explainability, and operational risk controls.

• Define autonomy KPIs and drive TM Forum ANL Level 4 assessments. Classification: Internal

• Provide thought leadership and represent the organization in TM Forum, ETSI, GSMA, and industry forums Required Skills Autonomous Networking

• TM Forum Autonomous Network Framework

• Intent-Based Networking

• Closed-Loop Automation

• Digital Twins

• Policy-Driven Operations

• Zero-Touch Network Management AI & Agentic Systems

• Multi-Agent Architectures

• LLM Integration

• Reinforcement Learning

• Knowledge Graphs

• AIOps/MLOps

• AI Governance & Explainability Telecom Technologies

• Open RAN / Near-RT RIC / Non-RT RIC

• 5G Core & Network Slicing

• NWDAF Analytics • Service Orchestration

• Cloud-Native Telco Platforms Cloud & Software Engineering

• Kubernetes/OpenShift

• AWS, Azure, Google Cloud Platform Classification: Internal

• Event-Driven Architectures

• API Management

• DevSecOps Leadership Responsibilities

• Lead solution architecture and autonomous network transformation programs.

• Define target-state architecture and autonomy maturity roadmap.

• Mentor engineering teams and establish best practices.

• Drive innovation and create reusable autonomous network accelerators.

Experience

• 12+ years in Telecom/Networking.

• 5+ years in Network Automation and AIOps.

• Experience delivering intent-driven or closed-loop autonomous network solutions.