NVIDIA

Telco

SeniorSolutionsArchitect,GenAIAgenticNetworks

$184–357k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Telco
Eligibility Requirements

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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