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NVIDIA

Senior Solutions Architect, Consulting Partners

  • Remote
  • 6+ years
  • English (B2)

Salary

Not stated

Similar roles pay £145K - 225K a year · our estimate

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Description

NVIDIA is looking for a Senior Solutions Architect to work with our Global Systems Integrator partners and AI consulting partners. This role requires a combination of technical authority and proven experience operating within regional partnerships. This individual will help inspire our partners to reimagine, reinvent and operate the enterprise business processes of the world's largest companies using Agentic AI using the NVIDIA platform. This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), and scalable software engineering practices. Our goal is to develop long-lasting relationships with our technology partners, making NVIDIA an integral part of their solutions. We are looking for someone who is always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field.

As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our AI consulting partners and our end-customers. Your duties will vary from creating pilots, demos and MvPs, to building relationships with key technical teams to evangelize accelerated computing and Agentic AI. Dynamically engaging with developers, researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role, to identify challenges and create solutions.

What You'll be Doing:

Becoming an expert and enabling GSI developers to adopt NVIDIA Agent Toolkit, Nemotron and NIM for their AI offerings, platforms and client services.

Construct complex AI agent workflows to analyse, strategise, perform tasks, access APIs, and fix errors autonomously.

Work with Partner Business Managers to thoughtfully craft actionable and effective strategies for the partnerships/alliances.

Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build AI full stack solutions for industry vertical and enterprise use cases.

Encourage industry executives and GSI leaders by articulating the business value of state-of-the-art AI solutions.

What We Need to See:

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (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 with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.

Excellent ability to listen understand and answer, asking questions and being comfortable with presenting visionary technical solutions in English

Ways to Stand Out from The Crowd:

Prior experience working with technical teams across multiple external stakeholders

Working proficiency with Orchestration platforms like Kubernetes and datacenter including compute, storage, and networking.

Expertise in NVIDIA platform-based development using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem.

Background in cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques

Curiosity to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener.

Where you’d work

Fully remote

You can work from

  • United Kingdom
  • Europe
  • Germany
  • Netherlands
  • France

About the company

NVIDIA

Also hiring in United States, Munich, Germany, France and 14 more places

273 of their 660 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 2 red flags

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Details12 facts · Role, Location, Compensation, Employment, Requirements
Tech stack
  • Kubernetes
  • LLMs
  • RAG
  • LangChain
Seniority
Senior
Type
Full-time
Specialty
Solutions Engineering
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Seniority
Senior
Experience
6+ years
Tech stack
  • Kubernetes
  • LLMs
  • RAG
  • LangChain

Location

Work model
Remote
Region
United Kingdom
Remote from
  • United Kingdom
  • Europe

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Requirements

Languages
  • English (B2)

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