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Key Customers Solutions Architect (Remote - US or Canada) 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 United States / Canada.. This role offers a unique opportunity to serve as a trusted technical advisor for strategic AI cloud customers, helping them design, deploy, and scale GPU-based solutions at enterprise scale. You will work closely with both technical and business stakeholders to optimize GPU performance for AI/ML workloads, provide guidance on cloud architecture, and ensure solutions are efficient and scalable. The position combines customer-facing engagement with hands-on technical expertise, collaborating with sales, product, and engineering teams to drive growth and customer satisfaction. The ideal candidate thrives in fast-paced, innovative environments, enjoys solving complex technical challenges, and excels at translating technical concepts for diverse audiences. This is a remote-friendly role with flexibility across the United States and Canada.. . Accountabilities. . Serve as the primary technical point of contact for key customers, troubleshooting and resolving complex AI/ML workloads.. . Guide clients on optimizing GPU performance for ML training and inference, ensuring scalable and reliable integration.. . Collaborate with sales teams to identify opportunities, provide technical presentations, and promote products.. . Act as a liaison to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with client needs.. . Engage with internal and external stakeholders to negotiate solutions, manage expectations, and resolve challenges efficiently.. . Support customer success by delivering architecture recommendations, implementation guidance, and ongoing technical support.. . . 5–10+ years of experience in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer with hands-on cloud services expertise.. . Proficiency with Infrastructure as Code (IaC) tools, such as Terraform and Ansible.. . Strong experience with Kubernetes, Python programming, and cloud-based GPU workloads.. . Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).. . Proven ability to build trust and maintain long-term customer relationships.. . Excellent communication skills, able to convey technical concepts to both technical and non-technical audiences.. . Experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow) and deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus.. . Familiarity with ML tools from NVIDIA, AWS, Azure, or Google Cloud is advantageous.. . Strong project management and stakeholder negotiation skills.. . Company Location: United States.