Solution Architect, Public Sector AI

Role overview Turn public-sector AI priorities into practical architectures and working solutions for government, research, and related organizations in France. This hands-on solutions architecture role spans generative and agentic AI, model adaptation, accelerated inference, and containerized deployments, taking projects from discovery and prototypes toward production. Travel in France and occasionally elsewhere in Europe may be part of customer work.

Responsibilities - Translate mission goals, data constraints, and operating requirements into technical architectures for AI solutions. - Build and demonstrate prototypes with partners using Python and PyTorch, then map paths from proof of concept to production. - Develop Kubernetes deployment patterns covering model serving, scaling, integration, and lifecycle needs. - Lead discovery sessions, workshops, and field trials with clear success criteria and measurable outcomes. - Advise on model adaptation and inference workflows, and troubleshoot performance, compatibility, and deployment issues. - Produce reusable notebooks, code samples, architecture guidance, and presentations; share customer feedback with product and engineering teams.

Requirements - A relevant master's degree in a technical or quantitative field, or equivalent experience. - At least five years in solutions architecture, technical consulting, software development, or a related technical role. - Strong Python programming skills and practical PyTorch experience building, testing, and debugging machine learning workflows. - Experience with generative or agentic AI, including model adaptation or deploying agent-based solutions. - Practical experience packaging and deploying AI applications with containers and Kubernetes. - Ability to turn complex requirements into clear architectures and implementable plans, and to communicate effectively through code, documents, and presentations. - Collaborative experience across customer, engineering, research, product, sales, or partner teams.

Nice to have - Experience with GPUs, accelerated computing libraries, or high-performance computing. - Knowledge of CI/CD, AI model lifecycle management, and repeatable deployment pipelines. - Depth in areas such as multimodal AI, computer vision, edge deployment, digital twins, or data analytics. - Work with government customers, sovereign technology programs, or AI startups; professional French and English are valued, as are other Western European languages.

Benefits and work setup The position is based in France and may involve travel within France and occasionally across Europe. The posting lists base salary estimates of €69,000–€119,600 for one level and €87,750–€152,100 for another; the offer depends on location, experience, and other job-related factors.