GenAI Solutions Architect – GCP & Hyperscaler GTM

NVIDIA; Reading; On-site; GBP 90,000 - 130,000; Full time

Job summary

NVIDIA’s Worldwide Field Operations seeks a Solution Architect specialized in Generative AI, Data Science apps and ML to collaborate with Google Cloud and hyperscaler partners. You will lead PoCs, optimize GPU pipelines, and evangelize NVIDIA tech to developers and executives.

The role involves engaging with developers, researchers, IT managers and senior leaders, ensuring NVIDIA’s GenAI stack integrates with enterprise computing architectures across partnerships and customer environments.

Qualifications

• 5+ years of Solutions Architect/Engineering or similar AI-related experience.
• Ability to present technical solutions clearly in English.
• Experience deploying large-scale training/inference pipelines on Hyperscaler infrastructure, especially GCP.
• Graduate degree (MS/PhD) in CS, Data Science, Engineering, Physics or related fields.
• Proven work in ML, DL, or data science with academic or industry context.
• Comfort working with multiple teams (Engineering, Product, Sales, Marketing).
• You are self-motivated, eager to grow, and share findings with the team.

Responsibilities

• Develop and demonstrate GenAI-based solutions for developers on Hyperscalers and NVIDIA tech.
• Collaborate with customers and partners to translate challenges into NVIDIA solutions.
• Analyze and optimize GPU-accelerated workflows for training and inference.
• Partner with Engineering, Product and Sales to plan and deliver features via PoCs.
• Build expertise and integrate NVIDIA tech into Enterprise Architectures.

Skills

GenAI

Solutions Architecture

GCP

Deep Learning

Distributed Training

DevOps

Education

MS/PhD in CS/Data Science/Engineering

Tools

Docker

Kubernetes

Singularity

Job description

NVIDIA’s Worldwide Field Operations seeks a Solution Architect specialized in Generative AI, Data Science apps and ML to collaborate with Google Cloud and hyperscaler partners. You will lead PoCs, optimize GPU pipelines, and evangelize NVIDIA tech to developers and executives.

The role involves engaging with developers, researchers, IT managers and senior leaders, ensuring NVIDIA’s GenAI stack integrates with enterprise computing architectures across partnerships and customer environments.