Senior Solutions Architect, GenAI Agentic Networks - Telco
At a glance
AI generatedTL;DR
As a Senior Solution Architect on NVIDIA’s Telco AI team, you will design and deploy advanced agentic AI applications for telecommunications network operations, leveraging cutting-edge generative models, NLP, and large-scale distributed systems. Your daily tasks include enabling strategic partners to build enterprise AI solutions using the NVIDIA accelerated computing stack, providing technical guidance to developers integrating with these platforms, and designing high-performance ETL pipelines for telecom data using tools like RAPIDS and Morpheus. Ideal candidates have a strong background in computer science or related fields, extensive experience building real-world AI/ML systems, proficiency in Python and C++, and deep knowledge of Telco network data and infrastructure technologies such as SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas. Familiarity with NVIDIA’s AI Enterprise software suite and 5G/O-RAN architecture is a plus, along with skills in MLOps and DevOps practices like Kubernetes and Docker.
Skills
What you'll do
- Design and deploy agentic AI applications for Telco network operations using advanced generative models and NLP techniques.
- Guide strategic Telco partners in building enterprise AI solutions on NVIDIA’s accelerated computing stack.
- Provide technical guidance to developers integrating with NVIDIA AI platforms and SDKs, addressing integration challenges.
- Anticipate partner needs throughout the adoption lifecycle and translate insights into reference architectures for Agentic AI in Telco.
- Advise on high-performance ETL pipeline design for telecom data using NVIDIA Data Acceleration SDKs.
What we're looking for
- MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or related field with 6+ years developing AI/ML systems at scale.
- Hands-on experience building enterprise RAG systems using open-source models and orchestration frameworks like LangChain or LlamaIndex.
- Proficiency in Python, C++, and deep learning frameworks such as PyTorch.
- Deep understanding of Telco network data including telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams.
- Experience with NVIDIA AI Enterprise software: Morpheus, RAPIDS, NeMo, NIM.
- Familiarity with 5G/6G O-RAN architecture and automation protocols like NETCONF, gNMI, RESTCONF.
- Strong communication skills to discuss technical trade-offs with engineers and business outcomes.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 825 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 813 roles with salary data.
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