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NVIDIA

Solution Architect - Agentic AI

NVIDIA is hiring a Solution Architect - Agentic AI in Tokyo, Japan. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include fine tuning.
  • Level classifies it as a senior role.
  • Level lists 2,600+ other open roles at NVIDIA.

AI in this role

fine-tuning

NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems.

We are looking for a Solution Architect to work with our customers and partners in Japan, promoting the adoption of Agentic AI and providing technical support to enable them to use our portfolio of GPU-accelerated computing solutions—including machine learning, deep learning, and generative AI.

What you'll be doing:

  • Exploring the latest advancement in model training, fine tuning and customization, while supporting building agentic LLM applications.

  • Enabling NVIDIA strategic customers to build enterprise AI solutions using accelerated computing stack including NIMs and NeMo microserviecs.

  • Collaborate with developers and onboard them to NVIDIA AI platforms and services by providing deep technical guidance.

  • Establishing and building repeatable reference architecture, communicate standard processes and understand solution trade-offs. Share findings and feedback to improve products and services.

  • Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with Sales Account Managers to secure design wins.

  • Create or run Proofs of Concept and demos that require presentation skills, the explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators.

What we need to see:

  • Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.

  • BS or MS in Computer Science, Engineering, Mathematics, or Physics (or equivalent experience)

  • 5+ years of industry or academic experience related to Generative AI or Deep Learning

  • Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, and Linux

  • Ability to multitask effectively in a dynamic environment

  • Strong analytical and problem-solving skills

  • Proactive and have a strong desire to share knowledge with clients, partners and co-workers

Ways to stand out from the crowd:

  • Expertise in deploying large-scale training and inferencing pipeline

  • Experience with pre-training, post-training of transformer-based architectures for language or vision

  • A deep understanding of the latest generative AI or deep learning methods and algorithms

  • Experience using or operating Kubernetes, as well as experience writing or customizing Kubernetes configurations

NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse 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

Solution Architect - Agentic AI at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

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

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuning

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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