Solutions Architect, Vision AI

NVIDIA is hiring a Solutions Architect, Vision AI in Singapore, Singapore. Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this solutions architect role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, Python and Docker.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Drive the adoption of NVIDIA vision AI and video AI technologies as a technical solutions architect.

PyTorchPythonDockerKubernetesHelmNvidia MetropolisDeepstreamNvidia Nim

ai-agentscomputer-visionspeechvlmvideo-analyticssolutions-architecturemachine-learning

We are looking for a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This is a highly technical role that requires deep expertise in VLM AI models and software engineering practices. We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region.

A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more.

What you'll be doing:

Drive the adoption of NVIDIA's vision AI and video AI capabilities.
Provide hands-on technical leadership to put VLM (Visual Language Models) and WFM (World Foundation Models) into applications for computer vision, document processing, and video analytics.
Support solution development and technical validation around NVIDIA vision AI and video AI technologies
Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input.
Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA AI technologies.

What we need to see:

BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, or a related field, or equivalent experience.
5+ years of proven experience in computer vision, vision AI, video AI, or world foundation models.
Hands-on experience in building and scaling production VLM and multi-modal AI systems.
Strong Python skills and experience with PyTorch.
Experience in the production trade-offs around latency, quality, and scale.
Familiarity with Docker, Kubernetes, Helm, or equivalent infrastructure tooling.
Ability to build and explain end-to-end AI pipelines, including model selection, customization, deployment, observability, and integration into customer applications.
Strong communication skills and the ability to work effectively across customers, partners, product management, and engineering.

Ways to stand out from the crowd:

Hands-on experience with NVIDIA AI technologies such as NVIDIA Metropolis + NVIDIA DeepStream SDK for live video pipelines, NVIDIA NIM for VLMs for serving, and Nemotron + Cosmos models.
Experience supporting model adaptation using NVIDIA TAO Toolkit + NVIDIA NeMo frameworks.
Experience benchmarking AI agents for quality, latency, reliability, safety, and user experience.
Experience working with enterprise partners to productionize voice AI applications in domains such as contact centers, digital humans, assistants, or industry-specific voice workflows.

Regarded as a top choice among technology companies, NVIDIA delivers highly competitive salaries and a well-rounded benefits package. As you consider your future, explore what we can provide for you and your family at https://www.nvidiabenefits.com/

How we rate this

Solutions Architect, Vision AI at NVIDIA rates 85 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect, Vision AI is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Singapore, Singapore-Suntec Tower.
The job was posted on August 24, 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

AI agentsComputer visionSpeechVlmVideo AnalyticsSolutions ArchitectureMachine learningPyTorch

Also common in solutions architect jobs at this level

LLM Deep learning Generative AI AWS Fine-tuning CUDA

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

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What have you built with speech recognition or text-to-speech, and where did it break?
Tell me about a project where vlm was part of your work. What did you do?
Tell me about a project where video analytics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Computer vision, Speech, Vlm, and Video Analytics. 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.

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