Senior Solutions Architect, GenAI Agentic Networks - Telco

NVIDIA • Santa Clara, CA

14h • $184,000 - $356,500 • Hybrid

About The Position

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! 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.

Requirements

• 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.
• Communication skills to talk technical trade-offs with engineers and outcomes with business partners.

Nice To Haves

• 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.

Responsibilities

• Designing, building, and continuously improving agentic LLM applications targeting Telco Network Operations and Autonomous Networks
• Evaluating and applying the latest advances in model fine-tuning and customization for telecom-specific corpora
• Enabling NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack
• Providing deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs
• Serving as the primary technical partner and customer point of contact for integration challenges
• Anticipating partner and customer needs across the adoption lifecycle
• Identifying enablement opportunities that accelerate GenAI utilization
• Translating insights into reference architectures for Agentic AI in Telco
• Documenting design trade-offs, standard practices, and failure modes
• Feeding findings systematically back to product and engineering
• Advising on high-performance ETL pipeline design for telecom data

Benefits

• Highly competitive salaries
• Comprehensive benefits package
• Excellent engineering work culture
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior