NVIDIA

1 month ago

Senior Solutions Architect, GenAI Agentic Networks - Telco

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Design and deploy agentic AI applications for Telco networks, blending generative AI with 5G data to automate carrier operations and drive production-ready multi-agent solutions. Lead architecture discussions, guide partners on NVIDIA AI stack, and build scalable ETL pipelines using RAPIDS and Morpheus. Collaborate with AI/ML and networks teams to deliver impactful, enterprise-grade solutions.

Location: Santa Clara, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design, build, and continuously improve agentic LLM applications targeting Telco Network Operations and Autonomous Networks, including orchestration, memory, and multi-agent coordination patterns
•Provide technical guidance to developers onboarding to NVIDIA AI platforms and SDKs; serve as the primary technical partner for integration challenges
•Anticipate partner and customer needs through the adoption lifecycle and translate insights into reference architectures for Agentic AI in Telco, documenting design trade-offs and failure modes
•Develop high-performance ETL pipelines for telecom data using NVIDIA Data Acceleration SDKs (RAPIDS, Morpheus) for real-time ingestion of telemetry and streams
•Collaborate with engineers and business partners to communicate trade-offs and desired outcomes in both technical and executive discussions

Travel: High travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or related field, or equivalent experience, with 6+ years 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
•Proficiency in Python, strong understanding of C++, and experience with PyTorch or similar deep learning framework
•Familiarity with Telco network data—telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams—plus experience with SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas
•Strong communication skills to discuss technical trade-offs with engineers and business partners

Experience:6+ yearsTelecommunicationsAITelco

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamwork

Tech Stack:PythonC++PyTorchLangChainLlamaIndexLLaMARAPIDSMorpheusNeMoNIMKubernetesDockerHelm

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Solutions Architect, GenAI Agentic Networks - Telco

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design, build, and continuously improve agentic LLM applications targeting Telco Network Operations and Autonomous Networks, including orchestration, memory, and multi-agent coordination patterns
•Provide technical guidance to developers onboarding to NVIDIA AI platforms and SDKs; serve as the primary technical partner for integration challenges
•Anticipate partner and customer needs through the adoption lifecycle and translate insights into reference architectures for Agentic AI in Telco, documenting design trade-offs and failure modes
•Develop high-performance ETL pipelines for telecom data using NVIDIA Data Acceleration SDKs (RAPIDS, Morpheus) for real-time ingestion of telemetry and streams
•Collaborate with engineers and business partners to communicate trade-offs and desired outcomes in both technical and executive discussions

Travel: High travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or related field, or equivalent experience, with 6+ years 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
•Proficiency in Python, strong understanding of C++, and experience with PyTorch or similar deep learning framework
•Familiarity with Telco network data—telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams—plus experience with SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas
•Strong communication skills to discuss technical trade-offs with engineers and business partners

Experience:6+ yearsTelecommunicationsAITelco

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamwork

Tech Stack:PythonC++PyTorchLangChainLlamaIndexLLaMARAPIDSMorpheusNeMoNIMKubernetesDockerHelm

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor