Autonomous Network Architect – Mobile & Fixed Experience:
12–20 Years Location:
Pan India
Job Summary We are looking for a
Senior Autonomous Network Architect
with solid 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 Lang Graph, Lang Chain 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
Lang Graph, Lang Chain 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 Big Query or similar cloud data platforms Open RAN / O-RAN Network Slicing Edge Computing gRPC/Streaming Telemetry Llama Index / Auto Gen Graph Databases TM Forum Open APIs TM Forum Autonomous Network certification

📌 Autonomous Network Architect (India)
🏢 The AES Group
📍 India