NVIDIA
Senior Solutions Architect, Consulting Partners

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About the Role
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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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 analyze, strategize, 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


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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.
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