Solutions ArchitectAt Meibel, we're redefining how AI is deployed in production, with explainability, accountability, and trust built in from day one. We're looking for a Solutions Architect who thrives in customer conversations, loves tackling real-world technical problems, and is excited to shape the way organizations build intelligent, explainable systems. This is a customer-facing, technically hands-on role that bridges the gap between sales, engineering, and product, helping our customers unlock the full value of Meibel's AI platform.What You'll DoPartner with enterprise customers to design scalable, explainable AI systems using Meibel's platformLead the technical side of the sales process — from discovery to proof-of-concept to production rolloutTranslate business goals into architectural plans across data pipelines, RAG workflows, and deployment strategiesGuide customers through onboarding, integration, and operationalization — acting as their trusted technical partnerCollaborate with Engineering and Product to turn customer feedback into roadmap insightsCreate architectural docs, diagrams, and reusable patterns that accelerate implementationProvide hands-on technical support across APIs, SDKs, model integration, and infrastructureTroubleshoot complex issues across model, data, and cloud environments — and help resolve them with clarityWhat We're Looking For4+ years in a Solutions Architect, Sales Engineering, or customer-facing technical roleDeep technical comfort with APIs, backend systems, cloud platforms (AWS/GCP/Azure), and modern data stacksHands-on ability in at least one programming language (Python, Go, or Node.js preferred)Experience working with ML/AI systems in production, ideally including LLMs or RAGExcellent communication skills — able to speak fluently with both technical and non-technical audiencesCustomer-first mindset with a bias for action and collaborationAbility to work cross-functionally with Sales, Engineering, and Product in a fast-paced environmentBonus Points ForExperience with LLMOps, prompt engineering, or hybrid retrieval systemsKnowledge of observability, model evaluation, and performance monitoring toolsFamiliarity with data governance, security, and compliance in enterprise AIBackground in enterprise software, AI platforms, or infrastructure startupsWhy Join Meibel?Shape how the next generation of AI is delivered, explained, and trustedWork closely with a world-class team of engineers, designers, and AI researchersInfluence the direction of our platform and playbooks from the ground upEnjoy autonomy, flexibility, and high ownership in a fast-growing startupMake a lasting impact on the way AI is used in high-stakes environments