Senior Solutions Architect, AI Cloud Services

NVIDIA

. Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA software and hardware technologies .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying AI/ML solutions on cloud platforms, leveraging NVIDIA technologies and GPUs. Capable of engaging with customers and stakeholders to deliver tailored technical solutions and presentations.

Highest-signal resume keywords

Solutions Engineering ExperienceAI/ML Solutions DeploymentNVIDIA GPU and SDK ProficiencyCloud Platform Expertise (AWS, GCP, Azure, OCI)Professional Solution Architect Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NVIDIA Software and Hardware TechnologiesPython ProgrammingDevOps/MLOps TechnologiesSystem Design and Architectural PatternsComprehensive Testing

Soft Skills

Effective Time ManagementClear Communication

Tools & Technologies

DockerKubernetesCUDATritonTensorRT-LLM

Certifications & Qualifications

AWS Professional Solution Architect CertificationGCP Professional Solution Architect CertificationAzure Professional Solution Architect CertificationOCI Professional Solution Architect Certification

Industry Keywords

Cloud Service ProvidersTechnical Customer MeetingsProofs of ConceptBusiness OpportunitiesEnd-to-End Technology Solutions

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA software and hardware technologies
Build and deploy solutions at scale using NVIDIA AI software on cloud-based GPU platforms
Build custom proofs of concept addressing customers' critical business needs using NVIDIA hardware and software
Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities
Conduct technical customer meetings covering project/product details, feature discussions, new technologies, and debugging
Prepare and deliver technical customer content, including presentations and workshops
Serve as the first line of technical expertise between NVIDIA and customers
Engage developers, researchers, and data scientists on NVIDIA strategic technologies
Work with business and engineering teams on product strategy
Drive end-to-end technology solutions incorporating NVIDIA's full technology stack

Requirements

What you’ll need

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience
4+ years of Solutions Engineering or similar Sales Engineering experience
Track record of deploying AI/ML solutions in cloud environments including AWS, GCP, Azure, or OCI
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, and data center deployments
Effective time management and ability to balance multiple tasks
Ability to communicate ideas clearly through documents and presentations
AWS, GCP, Azure, or OCI Professional Solution Architect Certifications
Hands-on experience with NVIDIA GPUs and SDKs such as CUDA, Triton, and TensorRT-LLM
Deep understanding of the software development lifecycle, system design, architectural patterns, and comprehensive testing
Solid working knowledge of Python
System-level experience with GPU-based systems

Benefits

Comp & perks

Equity
Benefits
Remote work locations
Occasional travel for local on-site customer visits and industry events