AI/ML Specialist Solutions Architect (Remote - Europe)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI/ML Specialist Solutions Architect in Europe.

As an AI/ML Specialist Solutions Architect, you will play a key role in helping enterprise clients design and implement large-scale AI solutions that leverage advanced cloud infrastructure. You’ll act as a trusted technical advisor—translating complex business needs into scalable architectures and optimizing machine learning workflows across distributed environments. Working alongside experienced engineers and product teams, you’ll enable customers to build and deploy cutting-edge AI models efficiently and securely. This role offers a unique opportunity to operate at the intersection of cloud innovation, AI research, and real-world impact.

Accountabilities:

• Design and implement customer-centric AI and ML architectures that maximize scalability, performance, and business value.
• Partner with clients to develop and optimize distributed training pipelines across multi-node, multi-GPU environments.
• Deliver technical presentations, whitepapers, webinars, and manuals for both technical and non-technical audiences.
• Collaborate with engineering and product teams to relay customer feedback and influence product roadmaps.
• Build and maintain long-term client relationships, ensuring satisfaction and successful solution adoption.
• Support the deployment and optimization of AI inference systems and production ML pipelines.

• At least 3 years of experience in cloud technologies related to MLOps, ML engineering, or similar domains.
• Strong understanding of machine learning ecosystems, including frameworks, tooling, and real-world use cases.
• Proven expertise in distributed training and GPU-based computing environments.
• Hands-on experience with PyTorch, TensorFlow, or JAX for model training and optimization.
• Solid grasp of containerization and orchestration tools such as Docker, Kubernetes, and Slurm.
• Proficiency in one or more programming languages: Python, Go, Java, or C++.
• Experience with Terraform or other Infrastructure as Code (IaC) tools.
• Excellent communication and problem-solving skills, with the ability to engage diverse technical audiences.
• Bonus: Experience deploying inference infrastructure for production workloads and scaling ML pipelines from proof-of-concept to production.