Solution Architect, Public Sector AI

This is a fully remote position, open to applicants in France.

📋 Description

• Interpret public-sector mission objectives, data limitations, and operational needs into technical frameworks for generative and agentic AI solutions.

• Partner with collaborators to construct and showcase functional prototypes utilizing Python and PyTorch.

• Establish actionable pathways from proof of concept to full-scale deployment on NVIDIA accelerated computing platforms.

• Develop containerized deployment strategies using Kubernetes, addressing model serving, scaling, integration, and lifecycle considerations.

• Facilitate hands-on discovery sessions, technical workshops, and field trials alongside customer engineers and ecosystem partners.

• Oversee model adaptation and inference processes for large language models.

• Address performance, compatibility, and deployment challenges in collaboration with partner and technical teams.

• Generate reusable notebooks, code examples, architectural guidance, and technical presentations.

• Align customer needs with actionable solutions.

• Convey structured feedback from customers and partners to NVIDIA's product and engineering teams to guide product requirements and eliminate adoption hurdles.

• Collaborate with solution partners, government bodies, research institutions, integrators, and NVIDIA's engineering and product teams.

• Travel within France and occasionally throughout Europe for customer engagements.

⛳️ Requirements

• Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics, or a related engineering field, or equivalent experience.

• At least 5 years of significant experience in solutions architecture, technical consulting, software development, or a closely related technical role.

• Strong practical programming skills in Python.

• Hands-on experience using PyTorch to create, test, and debug machine learning workflows.

• Demonstrated experience with generative or agentic AI, including domain adaptation or deployment of agent-based solutions.

• Practical skills in packaging and deploying AI applications using containers and Kubernetes.

• Capability to translate complex customer requirements into clear solution architectures, working prototypes, and implementable technical plans.

• Excellent written, verbal, and technical presentation skills, including the ability to communicate through code, notebooks, architecture documents, and workshops.

• Proven ability to work collaboratively across customer, engineering, research, product, sales, and partner teams in an international context.

• 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 expertise in one or more areas such as multimodal AI, computer vision, edge deployment, digital twins, or data analytics.

• Experience in consulting or delivering services to government clients, sovereign technology initiatives, or AI startups.

• Proficient communication skills in both French and English; proficiency in additional Western European languages is a plus.

🏝️ Benefits

• Highly competitive salaries.

• Comprehensive benefits package.

• Benefits for employees and their families.