NVIDIA
Telco
SeniorSolutionsArchitect,GenAIAgenticNetworks
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optimal for Senior candidates.
“Senior Solutions Architect, GenAI Agentic Networks at NVIDIA. Skills: GenAI Agentic Networks, Telco Network Operations, NVIDIA AI platforms, Python. Design and deploy Agentic AI applications. Automate carrier operations”
Industry & Context.
Up to 40% travel may be required
What They're Looking For.
Must Have
MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field—or equivalent experience building real systems, 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, Solid deep learning fundamentals, Proficiency in Python, Solid understanding of C++, Experience with PyTorch or a comparable deep learning framework, Real familiarity with Telco network data—telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams, Hands-on experience across SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas, Communication skills to talk technical trade-offs with engineers and outcomes with business partners
Nice to Have
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
What You'll Do.
Design and deploy Agentic AI applications
Automate carrier operations
Evaluate and apply model advances
Enable Telco partners to build AI solutions
Provide technical guidance to developers
Serve as technical partner
Anticipate partner needs
Identify enablement opportunities
Translate insights into reference architectures
Advise on ETL pipeline design
How You'll Work.
Team & Collaboration
Work with product team; Collaborate with engineering teams; Talk technical trade-offs with engineers; Talk outcomes with business partners
Communication Scope
Talk technical trade-offs with engineers; Talk outcomes with business partners
Full Job Description
We are building the AI systems that will fundamentally change how telecommunications networks are operated — and we want you to help shape that work. As a Senior Solution Architect on our Telco AI team, you will design and deploy Agentic AI applications that automate real carrier operations using the latest generative models, NLP, RAG pipelines, and large-scale distributed systems. We work at the intersection of two fast-moving domains: generative AI and telecommunications infrastructure. That means you will be going deep on both — understanding 5G network data, guiding NVIDIA’s strategic Telco partners, and helping engineering teams build things that actually work in production. This is applied work at its most exciting! **What You Will Be Doing:** 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 u
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