Public Sector AI Solutions Architect — France

FR01 NVIDIA France; France; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salaries

Comprehensive benefits package

Job summary

NVIDIA Global Public Sector seeks a France-based Solutions Architect to turn sovereign AI priorities into scalable technical solutions. You will collaborate with partners, government entities, and NVIDIA teams to design architectures, build proofs of concept, and move validated workflows toward production on NVIDIA accelerated computing platforms.

The role involves containerized deployments with Kubernetes, model adaptation for large language models, and hands-on workshops to deliver measurable

Qualifications

• Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics or another relevant engineering field or equivalent experience.
• 5+ years of experience in solutions architecture, technical consulting, software development or related technical role.
• Strong hands-on programming in Python and practical PyTorch for ML workflows.
• Experience with generative or agentic AI, including domain adaptation or deployment of agent-based solutions.
• Experience packaging and deploying AI applications with containers and Kubernetes.
• Ability to translate complex customer requirements into clear architectures, prototypes and implementable plans.
• Excellent written, verbal and technical presentation skills; ability to communicate through code, notebooks, architecture documents and workshops.

Responsibilities

• Translate public-sector mission goals and data constraints into architectures for generative and agentic AI solutions.
• Collaborate with partners to build and demonstrate working prototypes using Python and PyTorch.
• Define paths from proof of concept to production deployment on NVIDIA platforms.
• Build containerized deployment patterns using Kubernetes for model serving, scaling and lifecycle management in customer environments.
• Lead hands-on discovery sessions, technical workshops and field trials with customer engineers and ecosystem partners.
• Guide model adaptation and inference workflows for large language models and resolve performance and deployment issues with partners and teams.
• Create notebooks, code samples, architecture guidance and presentations linking customer requirements to solutions.
• Provide structured customer and partner feedback to product and engineering teams to inform roadmaps.

Skills

Python

PyTorch

Containerization

Kubernetes

Education

Master’s degree in Computer Science or related field

Tools

Kubernetes

Docker

Job description

NVIDIA Global Public Sector seeks a France-based Solutions Architect to turn sovereign AI priorities into scalable technical solutions. You will collaborate with partners, government entities, and NVIDIA teams to design architectures, build proofs of concept, and move validated workflows toward production on NVIDIA accelerated computing platforms.

The role involves containerized deployments with Kubernetes, model adaptation for large language models, and hands-on workshops to deliver measurable