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Principal Solutions Architect - DACH

2 hours, 13 minutes ago
Germany
Full-time
Lead
Sales Engineer
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 55

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/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 best practices using Nebius AI.
  • Drive advanced PoCs, workshops, architecture reviews, and executive-level presentations to accelerate customer adoption.
  • Partner with Sales, Product, Engineering, and Support to capture customer requirements and influence roadmap decisions.
  • Act as a single point of technical authority for key customer scenarios across internal teams.
  • Support conferences, hackathons, webinars, customer case studies, and other technical thought leadership initiatives.
  • Mentor other Solutions Architects and help raise the technical bar across the organization.

Requirements

  • 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar, with significant customer-facing responsibilities.
  • 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/AI workloads, including drivers, CUDA, libraries, and performance optimization.
  • Exceptional communication skills for explaining complex technical concepts to both technical and executive audiences.
  • A highly customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy.
  • Preferred: prior experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or similar senior AI/ML-focused role.
  • 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: strong understanding of the cloud ML ecosystem across NVIDIA, AWS, Azure, and Google Cloud.
  • Preferred: experience influencing product direction based on customer feedback and real-world usage patterns.
  • Preferred: experience leading and contributing to end-to-end large-scale ML deployment projects across all layers of the stack.

Benefits

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.
  • Remote work available from Germany.

Interested in this position?

Apply directly on the company website

Apply Now

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