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Principal Solutions Architect - France

2 hours, 15 minutes ago
France
Full-time
Lead
Implementation Consultant
Artificial Intelligence and Machine Learning
Ansible AWS Azure GCP Kubeflow Kubernetes Machine Learning MLOps Python PyTorch TensorFlow Terraform
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 59

Description

  • Own end-to-end technical presales and solution delivery for strategic and enterprise customers from discovery through production readiness.
  • Serve as a trusted technical advisor to senior customer stakeholders, including CTOs, Heads of ML, and platform engineering teams.
  • Lead complex ML and AI infrastructure and MLOps architectures for large-scale training and inference workloads on GPU-accelerated cloud platforms.
  • Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and deployment patterns using Nebius AI.
  • Drive advanced PoCs, workshops, architecture reviews, and executive presentations to demonstrate value and accelerate adoption.
  • Partner with Sales, Product, Engineering, and Support to represent customer requirements and influence product roadmap decisions.
  • Act as a single point of technical authority for key customer scenarios across internal teams.
  • Support strategic marketing initiatives such as conferences, hackathons, webinars, customer case studies, and technical thought leadership.
  • Mentor other Solutions Architects and provide technical leadership to raise the organization’s technical bar.

Requirements

  • 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar.
  • Proven track record of delivering complex presales engagements end to end, including discovery, solution design, PoCs, and production transition.
  • Deep hands-on experience with large-scale ML workloads, including GPU training and inference at scale.
  • Strong expertise in cloud infrastructure and MLOps, including Kubernetes-based platforms and distributed systems.
  • Hands-on experience with Infrastructure as Code and configuration management tools such as Terraform and Ansible.
  • Strong Python skills.
  • Deep understanding of GPU computing stacks for ML and AI workloads, including drivers, CUDA, libraries, and performance optimization.
  • Exceptional communication skills for both technical and executive audiences.
  • A customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy.
  • Preferred experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or similar.
  • Preferred hands-on experience with HPC and ML orchestration frameworks such as Slurm and Kubeflow.
  • Preferred practical experience with deep learning frameworks such as PyTorch and TensorFlow.
  • Preferred understanding of the cloud ML ecosystem across major providers such as NVIDIA, AWS, Azure, and Google Cloud.
  • Preferred experience influencing product direction from customer feedback and real-world usage patterns.
  • Preferred experience leading and contributing to end-to-end large-scale ML deployment projects across the stack.

Benefits

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements, including remote work from France.
  • A dynamic and collaborative work environment that values initiative and innovation.

Interested in this position?

Apply directly on the company website

Apply Now

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