Solutions Architect, Generative AI Specialist

Reposted 8 Hours Ago
4 Locations
In-Office or Remote
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Solutions Architect will develop AI solutions, lead workshops, and enhance partner success through extensive knowledge sharing and creating reference architectures.
Summary Generated by Built In

Are you a creative data scientist who loves solving problems with AI? Do you enjoy developing case studies and teaching others how to use new AI technology? We are looking for a passionate Generative AI Specialist to join NVIDIA as a Solution Architect (SA) in Santa Clara, CA, USA. As a member of our partner enablement team, you will have the unique opportunity to use NVIDIA's innovative AI platform to create sample solutions that our customers and partners can adapt to real-world applications. We have assembled a world-class team of experts whose work is accelerating enterprise adoption of AI.

What you'll be doing:

One of the perks of joining NVIDIA is that you'll enjoy access to incredible emerging technology. You will use our amazing platform to demonstrate end-to-end deployment of AI solutions in exciting areas such as healthcare, retail, and financial services.

  • Develop reference architectures showing the application of AI in industry-specific contexts.

  • Build sample applications that bring these AI workflows to life.

  • Lead live workshops and trainings to ensure partner and customer success.

  • Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe.

  • Foster learning and improvement by providing valuable feedback to sales and product specialists.

What we need to see:

  • 5+ years of relevant work experience in developing and deploying scalable LLM models, and enterprise applications using Pytorch or TensorFlow with Software Engineer or ML Engineer background.

  • Proven track record of building enterprise RAG-based systems using open-source frameworks such as LlamaIndex, LangChain, Malevis, Haystack etc.

  • Excellent practical knowledge of Generative AI and LLMs. Ability to train and fine-tune GPT based models, such as Llama-2, Megatron , GPT-3

  • Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience.

  • Passion for knowledge sharing and track record of building educational content in the field of AI or Cloud.

  • Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools.

  • Strong communication skills and experience working in external-facing roles. Comfortable working in a highly collaborative environment.

Ways to stand out from the crowd:

While not required, the following experiences and skills will set you apart:

  • Hands-on experience with NVIDIA AI Enterprise AI Software, Base Command Manager, NeMo, and NVIDIA Inference Microservices (NIMs), RAPIDS.

  • Excellent communication and presentation skills to effectively collaborate with both internal and external customers

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 8, 2025.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.

Top Skills

Base Command Manager
Haystack
Langchain
Llamaindex
Malevis
Nemo
Nvidia Ai Enterprise
Nvidia Inference Microservices
PyTorch
Rapids
TensorFlow
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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