Senior Solutions Architect, Gen AI

NVIDIA

Solutions Architect assisting customers with NVIDIA's full-stack technologies for Generative AI. Providing mentorship and developing workflows for Agentic AI on our platforms.

Posted 7/28/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying and optimizing LLM models using frameworks like TensorFlow and PyTorch, while providing technical mentorship and training on NVIDIA GenAI technologies. Capable of collaborating with engineering and sales teams to drive product development and secure design wins through effective communication and customer engagement.

Highest-signal resume keywords

Master's Or Ph.D. In Computer Science8+ Years In Technical AI RoleLLM Model Deployment And OptimizationTraining And Fine-Tuning LLMsGPU Cluster Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Gen AILLM Model DeploymentModel ArchitecturesTraining And Fine-TuningParallel ProcessingInference OptimizationTechnical MentorshipCustomer EngagementRequirements DraftingBusiness Needs Analysis

Soft Skills

Excellent CommunicationTeamworkTechnical PresentationWorkshop LeadershipComplex Concept Explanation

Tools & Technologies

TensorFlowPyTorchHugging Face TransformersDockerKubernetesGitLabLinux Command LineShellVLLMTRT-LLM

Industry Keywords

NVIDIA GenAIAccelerated ComputingAI WorkflowsPOC DevelopmentTechnical Training

Tech Stack

Tools & technologies

DockerKubernetesLinuxPyTorchTensorflow

About the role

Key responsibilities & impact

Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack.
Guide customers to develop 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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

equity
benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score