Lead AI Architect Telecom (Java Full Stack / Agentic AI)

Job Title: Lead AI Architect Telecom (Java Full Stack / Agentic AI) Location: Tampa, FL JD: Role: Java Full Stack Descriptions: 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 Efficacy: 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 Ful fillment: 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 multi- vendor environments. ? Intent-Based Networking (IBN): Develop reasoning engines that translate natural language business intents into technical configurations using frameworks like Lan gGraph 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. 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. Keyword: Skills: Digital : ReactJS~Digital : Spring Boot Experience Required: 8-10 Best regards, Parvesh Kumar Account Manager Galaxy i Technologies, Inc 9927 E Bell Road, Suite 110 Scottsdale, Arizona - 85260 Web : Email: PH:bfb3568a-762b-4989-884b-a9682aa104ca