Job 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:
• Fault Management
• Performance Management
• Configuration Management
• Service Assurance
• 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.
• Provide thought leadership and represent the organization in TM Forum, ETSI, GSMA, and industry forums

Skill Requirements

Autonomous Networking

• TM Forum Autonomous Network Framework
• Intent-Based Networking
• Closed-Loop Automation
• Digital Twins
• Policy-Driven Operations
• Zero-Touch Network Management

Network Automation
•    Python, Ansible, Terraform, or equivalent automation frameworks.
•    API-driven network management (REST, NETCONF, gNMI, TM Forum Open APIs).
•    Event-driven architectures and workflow orchestration.

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, GCP
• 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.

Other Requirements

• 8-12 years of overall experience in Telecommunications, Networking, OSS/BSS, or Network Operations.
• 4+ years of hands-on experience in Network Automation and OSS transformation programs.
• 2+ years of experience implementing AI/ML-driven network operations, AIOps, or closed-loop automation solutions.
• Proven experience across one or more domains:
• Experience with large-scale CSP environments supporting mission-critical network operations.
• Experience designing and implementing TM Forum Autonomous Network Level 3 or Level 4 use cases such as fault management, service assurance, network optimization, or service provisioning
• TM Forum Autonomous Networks certification, particularly in ANL assessment and autonomous operations frameworks, is highly preferred.