Autonomous Network Architect

the aes group

12-20 Years

India

Posted 3 hours ago
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Job Description

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.
Strong 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.