Key Customers Solutions Architect
New
Fully remote work model across EuropeFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Experience
- 5+ years
- Required Skills
- PythonCloud ComputingKubernetesMachine LearningTerraformAnsible
Requirements
- 5+ years of experience in roles such as Solutions Architect, Technical Account Manager, Customer Engineer, or similar positions focused on cloud technologies and AI/ML infrastructure.
- Strong technical expertise in GPU computing environments, including ML training, inference workloads, and GPU technologies such as CUDA or OpenCL.
- Hands-on experience with Infrastructure as Code tools like Terraform and Ansible.
- Practical knowledge of Kubernetes, Python, and cloud-native architectures.
- Ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
- Strong customer relationship management skills with a consultative and problem-solving mindset.
- Experience with distributed AI/ML systems, HPC orchestration frameworks, or deep learning technologies.
- Familiarity with platforms and tools from major cloud providers such as AWS, Azure, Google Cloud, or NVIDIA ecosystems.
- Excellent organizational, project management, and stakeholder alignment capabilities.
- Fluent English communication skills, both written and spoken.
Responsibilities
- Serve as the primary technical advisor for strategic customers, supporting the deployment, troubleshooting, and optimization of AI/ML workloads in large-scale GPU cloud environments.
- Guide customers in designing scalable architectures for machine learning training and inference, ensuring performance, reliability, and seamless integration.
- Collaborate closely with sales teams to identify expansion opportunities, support technical presentations, and contribute to customer growth strategies.
- Partner with internal product and engineering teams by sharing customer feedback, communicating feature requests, and helping align product capabilities with client needs.
- Drive cross-functional collaboration between technical and business stakeholders to resolve challenges and ensure successful project outcomes.
- Support customers with Infrastructure as Code implementations, Kubernetes deployments, and cloud automation best practices.
- Contribute to knowledge sharing, mentoring initiatives, and continuous improvement across customer-facing technical operations.
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