Key Customers Solutions Architect in Germany at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Key Customers Solutions Architect in Germany.

This role offers a unique opportunity to work at the forefront of AI cloud infrastructure and large-scale GPU computing. You will act as a trusted technical advisor for strategic customers, helping them design, deploy, and optimize advanced AI and machine learning workloads in highly scalable cloud environments. Working closely with engineering, product, and sales teams, you will play a critical role in driving customer success, technical innovation, and long-term partnerships. The position combines deep technical expertise with customer-facing collaboration, making it ideal for professionals who enjoy solving complex infrastructure challenges while influencing product evolution. With a flexible remote setup and access to cutting-edge AI technologies, this role provides strong growth opportunities within a fast-evolving global environment.

• Serve as the primary technical advisor and point of contact for strategic customers using large-scale GPU cloud infrastructure.
• Support customers in designing, deploying, troubleshooting, and scaling AI/ML solutions and workloads.
• Optimize GPU performance for machine learning training and inference tasks, ensuring high efficiency and scalability.
• Guide customers through infrastructure integration and cloud architecture best practices.
• Collaborate closely with sales teams to support customer engagements, identify growth opportunities, and deliver technical presentations or demonstrations.
• Act as a liaison between customers and internal product or engineering teams by communicating feature requests, feedback, and technical requirements.
• Troubleshoot complex technical issues related to AI/ML workloads, Kubernetes environments, GPU infrastructure, and cloud services.
• Build long-term trusted relationships with customers by providing proactive technical guidance and strategic recommendations.
• Participate in cross-functional initiatives to improve customer experience, technical processes, and service delivery.
• Support internal knowledge sharing, technical mentoring, and collaborative problem-solving activities.

• 5 to 10+ years of experience in roles such as Solutions Architect, Customer Engineer, Technical Account Manager, or similar cloud-focused technical positions.
• Strong hands-on experience with cloud infrastructure, AI/ML workloads, and large-scale GPU environments.
• Expertise with Infrastructure as Code tools such as Terraform and Ansible.
• Practical experience with Kubernetes and Python programming.
• Strong understanding of GPU computing technologies, including ML training, inference workloads, CUDA, and related GPU stacks.
• Excellent troubleshooting and problem-solving skills in complex technical environments.
• Ability to communicate advanced technical concepts clearly to both technical and non-technical stakeholders.
• Proven customer-facing experience with the ability to build trust and maintain strong long-term client relationships.
• Experience with HPC or ML orchestration frameworks such as Slurm or Kubeflow is considered an advantage.
• Familiarity with deep learning frameworks including PyTorch or TensorFlow is a plus.
• Knowledge of AI and ML tooling across cloud providers such as AWS, Azure, Google Cloud, or NVIDIA ecosystems is beneficial.
• Strong project management, prioritization, and stakeholder management capabilities.
• Experience mentoring technical teams or contributing to collaborative technical leadership initiatives is valued.

• Competitive salary package with comprehensive employee benefits.
• Fully remote or flexible working arrangements within Europe.
• Opportunity to work on cutting-edge AI, ML, and GPU cloud technologies at global scale.
• Professional growth and career development opportunities within a rapidly expanding international environment.
• Collaborative and innovation-driven culture that encourages initiative and technical excellence.
• Exposure to large-scale AI infrastructure projects and strategic enterprise customers.
• Inclusive and diverse workplace environment that values equal opportunity and collaboration.
• Access to experienced engineering and AI professionals working on advanced cloud technologies.