Pre-Sales Solution Architect (AI Infrastructure)

Join Mirantis as a Pre-Sales Solution Architect (AI Infrastructure) and help customers design and deploy next-generation AI infrastructure using the Mirantis k0rdent platform. In this role, you will work closely with European enterprise customers, platform engineering teams, and AI practitioners to architect solutions that enable scalable AI workloads and modern developer platforms. You will act as a trusted technical advisor, bridging customer requirements, business outcomes, and Mirantis technology.

• Collaborer avec les équipes de compte pour soutenir les opportunités stratégiques d'entreprise.
• Concevoir des architectures d'infrastructure AI en utilisant la plateforme Mirantis k0rdent et les technologies de l'écosystème open-source.
• Diriger les engagements de preuve de concept des clients pour valider l'adéquation de la solution.
• Hands-on experience designing or operating Kubernetes-based systems
• 5+ years in Sales Engineering, Solutions Architecture, or Technical Consulting in France or other French speaking countries in Europe
• Experience supporting enterprise sales for cloud-native or infrastructure platforms
• Kubeflow, MLflow, Ray, or similar frameworks
• On-prem infrastructure
• Cloud Native Infrastructure
• AI Infrastructure & MLOps
• Monitoring and observability platforms
• Model serving and inference platforms
• Multi-cluster management
• Infrastructure automation
• CI/CD pipelines
• AWS, Azure, GCP
• Platform Engineering
• Strong expertise in several of the following areas:
• DevOps & Observability
• Container orchestration
• GitOps workflows
• Infrastructure as code
• AI/ML deployment pipelines
• Kubernetes
• Hybrid cloud
• GPU-accelerated workloads
• Helm, Operators, CRDs
• Cloud & Hybrid Infrastructure
• Entrepreneurial mindset with a bias toward action
• Passion for open source and emerging infrastructure technologies
• Ability to explain complex systems clearly
• Strong consultative mindset and customer empathy
• Hands-on technical curiosity and experimentation
• CNCF ecosystem experience
• AI infrastructure or MLOps platform experience
• Open source community participation
• Kubernetes or cloud certifications