Autonomous Network Architect – Mobile & Fixed
Experience: 12–20 Years
Location: Pan India

Job Summary
We are looking for a Senior Autonomous Network Architect with strong experience in Telecom Network Architecture, 5G, Network Automation, Network Programmability, OSS/BSS, and Autonomous Networks . The ideal candidate will have hands-on experience designing and implementing self-healing, self-optimizing and closed-loop network solutions , along with expertise in RAG, Agentic AI, LLMs and modern AI frameworks .
Key Responsibilities
Design and implement autonomous network solutions for mobile and fixed telecom environments.
Develop self-healing, self-optimizing and closed-loop automation use cases.
Architect cloud-native, distributed solutions using AI/ML and network automation .
Design programmable network solutions using REST APIs, TM Forum APIs, SDN, YANG, NETCONF and RESTCONF .
Develop automation frameworks using Python, Go or similar programming languages .
Integrate telecom networks with OSS/BSS, network management and orchestration platforms .
Design RAG and multi-agent AI solutions using LangGraph, LangChain or similar frameworks.
Optimize LLM-based agents for token usage, latency, inference cost and computational efficiency .
Develop data pipelines for network telemetry, data correlation, cleansing and feature engineering .
Work with vector databases, semantic search, graph databases and caching strategies .
Architect solutions for 5G, Open RAN,



network slicing and edge computing .
Lead technical architecture, solution design, standards and best practices for autonomous networks.
Mentor technical teams and drive innovation and knowledge sharing.
Required Skills
10+ years of experience in Telecom/Mobile Network Architecture .
2+ years of hands-on experience in Autonomous Network use cases .
Solid experience in Network Automation and Closed-Loop Automation .
Strong knowledge of 5G, RAN, Core, OSS/BSS and telecom network architecture .
Hands-on experience with Python, REST APIs, TM Forum APIs, YANG, NETCONF, RESTCONF and gRPC .
Knowledge of SDN, network programmability and network orchestration .
Experience with RAG, LLMs, Generative AI and Agentic AI .
Experience with LangGraph, LangChain or similar AI frameworks .
Experience with vector databases such as Qdrant, ChromaDB, Pinecone, Weaviate or Milvus .
Knowledge of LLM token optimization, prompt engineering, context optimization and inference-cost optimization .
Experience with network telemetry, ETL/data pipelines and data correlation .
Knowledge of cloud-native architecture, distributed systems and Kubernetes .
Preferred Skills
Google Vertex AI / Gemini APIs
BigQuery or similar cloud data platforms
Open RAN / O-RAN
Network Slicing
Edge Computing
gRPC/Streaming Telemetry
LlamaIndex / AutoGen
Graph Databases
TM Forum Open APIs
TM Forum Autonomous Network certification

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