Autonomous Network Architect – Mobile & Fixed

Experience: 12–20 Years

Location: Pan India

Job Summary

We are looking for a Senior Autonomous Network Architect with robust 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

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