Solutions Architect

NVIDIA's Global Public Sector team is seeking a Solutions Architect based in France to turn sovereign AI priorities into scalable technical solutions. This hands-on role collaborates with solutions partners, government entities, research organisations, integrators, and NVIDIA engineering and product teams to develop architectures, build proofs of concept, and move validated workflows toward production.

The work spans generative and agentic AI, model adaptation, GPU-accelerated inference, containerised platforms, and machine learning operations. Travel within France and occasionally across Europe may be required for customer engagements.

Responsibilities

• Translate public-sector mission goals, data constraints, and operational requirements into technical architectures for generative and agentic AI solutions.
• Collaborate with partners to build and demonstrate working prototypes using Python and PyTorch, then define practical paths from proof of concept to production deployment on NVIDIA accelerated computing platforms.
• Build containerised deployment patterns using Kubernetes, including model serving, scaling, integration, and lifecycle considerations for customer environments.
• Lead hands-on discovery sessions, technical workshops, and field trials with customer engineers and ecosystem partners, with clear success criteria and measurable technical outcomes.
• Guide model adaptation and inference workflows for large language models, then solve performance, compatibility, and deployment issues with partner and technical teams.
• Create reusable notebooks, code samples, architecture guidance, and technical presentations that connect customer requirements with implementable solutions.
• Bring structured customer and partner feedback to NVIDIA product and engineering teams to inform product requirements and remove adoption barriers.

Requirements

• Master's degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics, or another relevant engineering field, or equivalent experience.
• 5 or more years of meaningful experience in solutions architecture, technical consulting, software development, or a closely related technical role.
• Strong hands-on programming skills in Python and practical experience using PyTorch to build, test, and debug machine learning workflows.
• Proven work with generative or agentic AI, including domain adaptation or deployment of agent-based solutions.
• Practical experience packaging and deploying AI applications with containers and Kubernetes.
• Ability to turn sophisticated customer requirements into clear solution architectures, working prototypes, and ready-to-implement technical plans.
• Clear written, verbal, and technical presentation skills, including the ability to communicate through code, notebooks, architecture documents, and workshops.
• Proven teamwork across customer, engineering, research, product, sales, and partner teams in an international environment.

Benefits

• Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. You can find more information about NVIDIA benefits at [www.nvidiabenefits.com](http://www.nvidiabenefits.com).