Principal AI Architect (Telecom Autonomous Networks)

Principal AI Architect (Telecom Autonomous Networks) (part of Tata group) 3.9 3.9 out of 5 stars 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 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 CrewAI.

Troubleshooting Agents:

Design "Diagnostic Agents" that can autonomously query telemetry data, correlate alarms, and suggest (or execute) remediation steps for network outages. 2. 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. 3.

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.

Salary Range:

$140,000-$160,000 a year #LI-DM1 Location Basking Ridge, NJ Job Function

TECHNOLOGY

Role Enterprise Architect Job Id 397482 Desired Skills Artificial Intelligence Salary Range $140,000-$160,000 a year