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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect - **Company:** NVIDIA Ltd. - **Location:** United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Databases, Extract Transform Load (ETL), DevOps, Distributed Systems, Elasticsearch, Ethernet, InfiniBand, Python (Programming Language), Natural Language Processing, Netconf, NetFlow, Network Administration, NoSQL, Open Source Technology, Simple Network Management Protocols, Software Engineering, SQL Databases, O-RAN, Scripting, 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:** August 1, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-solutions-architect-genai-agentic-networks-telco-seattle-wa--9d7327cd-e538-4ed8-95fc-932fbf6bfa27 ## About the Role 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., Apache Spark, Artificial Intelligence (AI), C++ Programming Language, Communication Skills, Computer Science, Conferences, Continuous Improvement, Customer Relations, Data Science, Database Extract Transform and Load (ETL), Deep Learning, Distributed Computing, Documentation, Elasticsearch, Electrical Engineering Software, Ethernet, Graphics, Large-Scale Systems, Memory Hardware, Microservices, Natural Language Processing (NLP), Netflow, Network Administration/Management, NoSQL, Onboarding, Open Source, Product Engineering, Python Programming/Scripting Language, Robotics, SNMP (Simple Network Management Protocol), SQL (Structured Query Language), Software Engineering, Technical Leadership, Telecommunications, Telemetry, Willing to Travel ## 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 - [Your Next AI Needs 10,000 GPUs. 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