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.