Principal AI Architect - Telecom Autonomous Networks

Principal AI Architect - Telecom Autonomous Networks

Must Have Technical/Functional Skills:

• Reduction in MTTR (Mean Time to Repair): Speed of autonomous fault correlation and resolution via agentic workflows.
• Provisioning Accuracy: Zero-touch fulfillment success rate without manual intervention or configuration drift.
• Guardrail Efficiency: Percentage of "unsafe" or "hallucinated" network commands intercepted by the safety layer before execution.
• Agentic Efficiency: Token-to-action cost optimization for high-frequency network monitoring tasks
• As the Lead AI Architect for Telecom, you will design the brain of our next-generation autonomous network.
• You will build an AI platform where Agentic AI acts as the orchestration layer for network service fulfillment, closed-loop assurance, and predictive maintenance.
• Your goal is to move the organization from "Human-in-the-loop" to "Human-on-the-loop,
• Ensuring AI agents can safely execute commands across IP, Optical (DWDM/OTN), and Wireless infrastructures

Roles & Responsibilities:

1. Agentic Network Orchestration

• Autonomous Fulfillment: Architect multi-agent systems that can take a high-level service request (e.g., "Provision a 100G Wavelength service") and decompose it into specific CLI/API commands across multivendor environments.
• Intent-Based Networking (IBN): Develop reasoning engines that translate natural language business intents into technical configurations using frameworks like LangGraph or Crew AI.
• Troubleshooting Agents: Design "Diagnostic Agents" that can autonomously query telemetry data, correlate alarms, and suggest (or execute) remediation steps for network outages.

Data Architecture for Telco AI:

• Real-time Telemetry RAG: Architect a high-throughput Retrieval-Augmented Generation (RAG) pipeline that ingests streaming telemetry, PCAP files, and syslog data into Vector Databases for real-time agent context.
• Network Digital Twin Integration: Connect AI agents to Digital Twins and Graph Databases (Neo4j) to ensure they "understand" physical and logical topology before making routing changes.
• Unified Data Fabric: Build the data architecture necessary to bridge silos between Radio Access Network (RAN), Core, and Edge data.

Telco-Grade Guardrails & Safety:

• Deterministic Execution: Implement strict guardrails (e.g., NeMo, Guardrails AI) to ensure agents never execute a command that violates "Golden Configuration" standards.
• SLA-Aware Governance: Architect systems that monitor agent actions against Service Level Agreements (SLAs), ensuring autonomous decisions do not prioritize one customer's traffic at the expense of a higher-priority emergency service.
• Policy Enforcement: Design a "Policy Proxy" layer where every agentic action is validated against a library of telecom regulatory and security compliance rules.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.