> Markdown version of [/jobs/ext/194927-senior-solutions-architect-genai-agentic-networks-telco](https://www.wearedevelopers.com/jobs/ext/194927-senior-solutions-architect-genai-agentic-networks-telco). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Architect, GenAI Agentic Networks - Telco - **Company:** NVIDIA Ltd. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $356,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Extract Transform Load (ETL), DevOps, Elasticsearch, Ethernet, InfiniBand, Python (Programming Language), Netconf, NetFlow, NoSQL, Open Source Technology, Simple Network Management Protocols, Software Engineering, SQL Databases, O-RAN, Enterprise Software Applications, Computer Network Operations, Pytorch, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Apache Spark, Deep Learning, Jupyter, Pandas, AI Platforms, Kubernetes, Information Technology, SDN Network, Machine Learning Operations, Virtual Agents, Nim (Programming Language), Docker, Microservices - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6910545a799b3e3d ## About the Role Do you have experience in Time Series Analysis?, We are looking for someone with a strong engineering foundation and genuine curiosity about both AI and networking. Here is what matters most to us: * MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field-or equivalent experience building real systems-with 6+ years developing and deploying AI/ML systems at scale. * Hands-on experience building enterprise RAG systems with open-source models (LLaMA, Mistral, or similar) and orchestration frameworks like LangChain or LlamaIndex, paired with solid deep learning fundamentals. * Proficiency in Python, solid understanding of C++, and experience with PyTorch or a comparable deep learning framework. * Real familiarity with Telco network data-telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams-paired with hands-on experience across SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas. * The communication skills to talk technical trade-offs with engineers and outcomes with business partners - often in the same conversation., These are not requirements - they are signals that you have already been operating in the space we work in every day: * Experience with NVIDIA AI Enterprise software: Morpheus, RAPIDS, NeMo, and NIM. * Agentic framework fluency: LangGraph, AutoGen, NVIDIA Colang 2.0, or similar multi-agent tools. * 5G / 6G and O-RAN depth: Next-generation Telco architecture spanning 5GC, Open RAN, network slicing, MEC, and 3GPP standards (Rel. 15-18), combined with O-RAN automation including xApps, rApps, RIC, SDN/NFV, and protocols such as NETCONF, gNMI, and RESTCONF. * MLOps and DevOps: Kubernetes, Docker, Helm, Jupyter-based automation pipelines. * Infrastructure awareness around NVIDIA InfiniBand or high-speed Ethernet for distributed model serving. ## Description We are designing, building, and continuously improving agentic LLM applications targeting Telco Network Operations and Autonomous Networks-covering orchestration, tool use, memory, and multi-agent coordination patterns-while evaluating and applying the latest advances in model fine-tuning and customization for telecom-specific corpora including network telemetry, logs, SNMP, NetFlow/IPFIX, and streaming time-series data. * Enable NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack, including NIMs and NeMo microservices. * Provide deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs; serve as the primary technical partner and customer point of contact for integration challenges. * Anticipate partner and customer needs across the adoption lifecycle, identify enablement opportunities that accelerate GenAI utilization, and translate those insights into reference architectures for Agentic AI in Telco-documenting design trade-offs, standard practices, and failure modes, then feeding findings systematically back to product and engineering. * Advise on high-performance ETL pipeline design for telecom data: scalable, real-time ingestion workflows using NVIDIA Data Acceleration SDKs (RAPIDS, Morpheus) for high-volume telemetry and event streams. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Your Next AI Needs 10,000 GPUs. 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