Solution Architect, Public Sector AI

Overview

NVIDIA's Global Public Sector team is seeking a Solutions Architect based in France to turn sovereign AI priorities into scalable technical solutions for public-sector organizations.

What you'll do

• 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 containerized 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, and 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.

What you'll need

• 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.

Nice to have

• Development experience with NVIDIA GPUs, software libraries or high-performance computing systems.
• Applied knowledge of continuous integration and delivery, AI model lifecycle management, and repeatable deployment pipelines for AI systems.
• Technical depth in one or more areas such as multimodal AI, computer vision, edge deployment, digital twins or data analytics.
• Consulting or delivery experience with government customers, sovereign technology programs or AI startups.
• Professional communication skills in French and English; additional Western European languages are a plus.

Details

• Location: France (remote).
• Travel within France and occasionally across Europe may be required for customer engagements.