Senior Solutions Architect, Gen AI

NVIDIA is hiring a Senior Solutions Architect, Gen AI for a remote role open to applicants in United States. It pays $184k-$288k a year and Level rates it ; you can apply on Level.

Level's read on this job

Level rates this solutions architect role Builds AI ●●●●: the job is building AI systems.
Pay on this posting starts 9% higher than the typical solutions architect posting on Level.
This is listed as a remote role.
The posting mentions LangChain, LangGraph and Hugging Face among its tools and skills.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

langchainlanggraphhugging-facevllmpytorchtensorflow

fine-tuning

NVIDIA is building the world’s leading AI company, and we are looking for a Solutions Architect skilled in full cycle Gen AI development and deployment to assist customers with adoption of NVIDIA's full-stack technologies as well as building and deploying solutions around Generative AI and other related GPU-accelerated technologies in which intelligent agents can learn, reason, and interact with the world. As part of the Hospitality and Travel Solutions Architecture team, we work with some of key hotel and transportation chains to integrate accelerated computing and AI into their stacks. A Solutions Architect is the first line of technical expertise between NVIDIA and our Auto customers so you will engage directly with developers, researchers, and data scientists with some the most strategic customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. Join us in this exciting endeavor!

What You Will Be Doing:

Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develope and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.
Build demonstrations and POCs for solutions that address critical business needs of our customers. Help in draft requirements for missing features to unblock progress at customers/partners.
Educate customers on new NVIDIA GenAI technologies and platforms. Prepare and deliver technical training presentations and workshops.
Build collateral (notebook/ blog) applied to the industry use-cases.
Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC evaluations.

What We Need To See:

Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
8+ years of hands-on experience in a technical AI role, with a strong emphasis on Gen AI.
Proficient in the latest and greatest model architectures and be able to articulate the computational complexities of each.
Proven track record of deploying and optimizing LLM models for inference in production environments using well known inferencing engines e.g., vLLM, TRT-LLM, SGLang, etc.
Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.
Experience with basic DevOps tools e.g., Docker, Kubernetes, GitLab, Linux Command Line, Shell, etc.
Excellent communication and teamwork skills with the ability to explain complex technical concepts to both technical and non-technical collaborators.
Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Ways To Stand Out From The Crowd:

Experience with Agentic AI frameworks, tools, and protocols e.g., LangChain, LangGraph, MCP.
Understand Multimodal LLMs, VLMs, etc.
Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).
Proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.
Mathematical understanding of different parallelisation techniques in Gen AI

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior Solutions Architect, Gen AI at NVIDIA rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Solutions Architect, Gen AI is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $184k-$288k a year.
The role is based in US, CA, Remote and is marked remote.
The job was posted on October 16, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningLangChainLangGraphHugging FacevLLMPyTorchTensorFlow

Also common in solutions architect jobs at this level

Deep learning Python RAG Machine learning AI agents Reinforcement learning

Pay

This job starts at: $184k
Typical solutions architect job: $169k

This posting starts 9% above the typical solutions architect job. See solutions architect jobs

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Walk me through how you've used LangChain in your day-to-day work.
What are the limits of LangGraph that you've run into, and how did you work around them?
What's a project where you used Hugging Face hands-on?
Walk me through how you've used vLLM in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Fine-tuning, LangChain, LangGraph, Hugging Face, and vLLM. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Check your resume with the ATS resume checker

Get new remote solutions architect jobs (Builds AI ●●●●) by email

One email a week with the new remote solutions architect jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.