Autonomous Network Architect

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.

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