: MAX CONFIRMED -/hr
Location: ONSITE-
Duration: 6 months
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 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 multi-
vendor 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.
Keyword:
Skills: Digital : ReactJS~Digital : Spring Boot
Experience Required: 8-10, Project Code :
Location: ONSITE-
Duration: 6 months
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 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 multi-
vendor 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.
Keyword:
Skills: Digital : ReactJS~Digital : Spring Boot
Experience Required: 8-10, Project Code :