Senior Solutions Architect, Consulting Partners

NVIDIA
United Kingdom, Netherlands, Germany, France
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Collaboration","Presenting","Problem-solving","Stakeholder management"]

Serve as the first line of technical expertise between NVIDIA, AI consulting/GSI partners, and end customers. Enable partners to adopt NVIDIA Agentic AI offerings and build end-to-end AI solutions, from pilots and demos to production-ready architectures. Develop complex agent workflows, evangelize accelerated computing, and collaborate across NVIDIA engineering, product, and business teams to deliver full-stack solutions for enterprise vertical use cases.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Senior Solutions Architect, Consulting Partners

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Job Summary

Serve as the first line of technical expertise between NVIDIA, AI consulting/GSI partners, and end customers. Enable partners to adopt NVIDIA Agentic AI offerings and build end-to-end AI solutions, from pilots and demos to production-ready architectures. Develop complex agent workflows, evangelize accelerated computing, and collaborate across NVIDIA engineering, product, and business teams to deliver full-stack solutions for enterprise vertical use cases.
Location: United Kingdom, Netherlands, Germany, France
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Enable GSI developers to adopt NVIDIA Agent Toolkit, Nemotron, and NIM for AI offerings, platforms, and client services.
  • •Build complex AI agent workflows that analyze, strategize, perform tasks, access APIs, and autonomously fix errors.
  • •Partner with key business stakeholders to craft actionable partnership/alliances strategies.
  • •Collaborate with other Solutions Architects, engineering, product, and business teams to build full-stack AI solutions for industry and enterprise use cases.
  • •Evangelize and articulate the business value of state-of-the-art AI solutions to industry executives and GSI leaders.

Key Requirements

  • •BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering, or related field (or equivalent experience).
  • •5+ overall years in deep learning, data science, or software development, with knowledge of parallel computing with GPUs.
  • •Strong development expertise building RAG pipelines and Agentic AI applications.
  • •Developer background with LangChain and LangGraph orchestrating LLMs.
  • •Clear written and oral communication skills to collaborate with management and engineering, and present technical solutions in English.
Experience:Deep learningData scienceGenerative AILarge language modelsLLMsAgentic AIRAGMLOpsGPUs
Education:Bachelor's
Skills:CommunicationCollaborationPresentingProblem-solvingStakeholder management
Languages:English
Tech Stack:NVIDIA Agent ToolkitNemotronNIMLangChainLangGraphRAGAgentic AILLMsKubernetesGPUsAPIsMicroservicesNemo

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
Glassdoor: 4.3
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