Senior AI Solutions Architect - Vision & Diffusion

NVIDIA; United Kingdom; On-site; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Job summary

NVIDIA is seeking a Senior Solutions Architect to optimize large-scale training and inference for vision models, working with AI Native customers across the EMEA region. You will bridge NVIDIA’s generative AI platform with demanding production pipelines to unlock high performance and scalability.

In this hands-on role, you will guide architecture decisions, enable efficient deployment, and contribute to community demos and workshops, leveraging TensorRT, Triton, and NVIDIA's stack.

Qualifications

• 5+ years in AI/ML with deep expertise in Computer Vision models.
• Experience with diffusion model frameworks for image/video generation.
• Understanding of vision encoder optimization and inference tradeoffs.
• Strong communication with ML researchers and engineers.

Responsibilities

• Guide EMEA AI Native companies building image, video, and multimodal generation pipelines on NVIDIA infrastructure.
• Provide deep technical guidance on diffusion architectures and multi-GPU deployment.
• Optimize generation pipelines for performance and efficiency.
• Guide customers through the full visual content stack: preprocessing, temporal consistency, token representation.
• Identify bottlenecks in memory, attention scaling, and multi-GPU communication.
• Translate customer insights into actionable product feedback for NVIDIA teams.
• Contribute to the EMEA developer community via demos, workshops, and reference materials.

Skills

AI/ML experience

Computer Vision

Diffusion models

Communication skills

Education

MS or PhD in CS / CV / ML

Tools

TensorRT

Triton Inference Server

NIM

Job description

NVIDIA is seeking a Senior Solutions Architect to optimize large-scale training and inference for vision models, working with AI Native customers across the EMEA region. You will bridge NVIDIA’s generative AI platform with demanding production pipelines to unlock high performance and scalability.

In this hands-on role, you will guide architecture decisions, enable efficient deployment, and contribute to community demos and workshops, leveraging TensorRT, Triton, and NVIDIA's stack.