Black Forest Labs

Solutions Architect role focused on bridging the gap between generative AI research and customer production integrations. Responsibilities include customer onboarding, guiding on prompting, inference optimization, evaluation, and finetuning, creating technical enablement resources, and translating customer feedback to engineering and research teams. Requires deep understanding of generative AI, experience serving models in production, Python proficiency, and strong communication skills.

Designs, deploys, and maintains ML infrastructure for training and inference clusters, optimizing for researcher iteration speed and production inference performance. Focuses on cloud platforms, Kubernetes, Slurm, IaC, and CI/CD for ML workflows.