Key Customers Solutions Architect (Remote - Europe)

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

In this role, you will act as a trusted technical advisor for strategic clients, helping them design, deploy, and scale advanced AI solutions in cloud environments. You will work closely with customers to optimize GPU performance for machine learning workloads and provide guidance across large-scale AI deployments. Collaborating with sales, product, and engineering teams, you will bridge technical insights with business needs to drive customer satisfaction and growth. This position offers a hybrid or fully remote setup within Europe, providing flexibility while working on cutting-edge cloud infrastructure projects that shape the AI landscape.

Accountabilities

As a Key Customers Solutions Architect, your responsibilities will include:

• Serving as the primary technical point of contact for strategic AI/ML clients.
• Troubleshooting and resolving complex technical challenges in GPU-based AI workloads.
• Guiding customers in optimizing GPU performance for training and inference at scale.
• Partnering with sales teams to identify opportunities, present solutions, and promote products.
• Acting as a liaison to product teams by providing customer feedback and feature requests.
• Engaging with internal and external stakeholders to negotiate solutions and drive alignment.
• Delivering technical presentations and ensuring solutions meet both technical and business requirements.

To thrive in this role, you should have:

• 5+ years of experience as a Cloud Solutions Architect, Technical Account Manager, Customer Engineer, or similar roles.
• Hands-on experience with cloud services and AI/ML workloads.
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Strong understanding of GPU computing, including ML training, inference workloads, and GPU stacks (CUDA, OpenCL).
• Customer-focused mindset with strong relationship-building skills.
• Ability to explain complex technical concepts to both technical and non-technical audiences.
• Written and spoken proficiency in English.

Nice to have:

• Hands-on experience with HPC/ML orchestration frameworks (Slurm, Kubeflow).
• Familiarity with deep learning frameworks like PyTorch or TensorFlow.
• Experience with ML tools from NVIDIA, AWS, Azure, or Google Cloud.
• Strong project management skills and the ability to prioritize tasks effectively.
• Experience mentoring technical teams and driving team development.
• Expertise in stakeholder negotiation to support problem resolution and collaboration.

This position offers:

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and development.
• Hybrid working arrangements or fully remote work from any EU country.
• Dynamic and collaborative environment that encourages innovation and initiative.
• Exposure to cutting-edge AI and cloud infrastructure projects.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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