Meibel.ai
Meibel is the platform to build, run & scale generative AI with confidence.
Description
At 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 Do Partner with enterprise customers to design scalable, explainable AI systems using Meibel’s platform Lead the technical side of the sales process — from discovery to proof-of-concept to production rollout Translate business goals into architectural plans across data pipelines, RAG workflows, and deployment strategies Guide customers through onboarding, integration, and operationalization — acting as their trusted technical partner Collaborate with Engineering and Product to turn customer feedback into roadmap insights Create architectural docs, diagrams, and reusable patterns that accelerate implementation Provide hands‑on technical support across APIs, SDKs, model integration, and infrastructure Troubleshoot complex issues across model, data, and cloud environments — and help resolve them with clarity What We’re Looking For 4+ years in a Solutions Architect, Sales Engineering, or customer-facing technical role Deep technical comfort with APIs, backend systems, cloud platforms (AWS/GCP/Azure), and modern data stacks Hands‑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 RAG Excellent communication skills — able to speak fluently with both technical and non‑technical audiences Customer‑first mindset with a bias for action and collaboration Ability to work cross‑functionally with Sales, Engineering, and Product in a fast‑paced environment Bonus Points For Experience with LLMOps, prompt engineering, or hybrid retrieval systems Knowledge of observability, model evaluation, and performance monitoring tools Familiarity with data governance, security, and compliance in enterprise AI Background in enterprise software, AI platforms, or infrastructure startups Why Join Meibel? As a Solutions Architect at Meibel, you’re not just implementing software, you’re helping organizations deploy AI responsibly and with confidence. Shape how the next generation of AI is delivered, explained, and trusted Work closely with a world‑class team of engineers, designers, and AI researchers Influence the direction of our platform and playbooks from the ground up Enjoy autonomy, flexibility, and high ownership in a fast-growing startup Make a lasting impact on the way AI is used in high‑stakes environments
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At 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 Do Partner with enterprise customers to design scalable, explainable AI systems using Meibel’s platform Lead the technical side of the sales process — from discovery to proof-of-concept to production rollout Translate business goals into architectural plans across data pipelines, RAG workflows, and deployment strategies Guide customers through onboarding, integration, and operationalization — acting as their trusted technical partner Collaborate with Engineering and Product to turn customer feedback into roadmap insights Create architectural docs, diagrams, and reusable patterns that accelerate implementation Provide hands‑on technical support across APIs, SDKs, model integration, and infrastructure Troubleshoot complex issues across model, data, and cloud environments — and help resolve them with clarity What We’re Looking For 4+ years in a Solutions Architect, Sales Engineering, or customer-facing technical role Deep technical comfort with APIs, backend systems, cloud platforms (AWS/GCP/Azure), and modern data stacks Hands‑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 RAG Excellent communication skills — able to speak fluently with both technical and non‑technical audiences Customer‑first mindset with a bias for action and collaboration Ability to work cross‑functionally with Sales, Engineering, and Product in a fast‑paced environment Bonus Points For Experience with LLMOps, prompt engineering, or hybrid retrieval systems Knowledge of observability, model evaluation, and performance monitoring tools Familiarity with data governance, security, and compliance in enterprise AI Background in enterprise software, AI platforms, or infrastructure startups Why Join Meibel? As a Solutions Architect at Meibel, you’re not just implementing software, you’re helping organizations deploy AI responsibly and with confidence. Shape how the next generation of AI is delivered, explained, and trusted Work closely with a world‑class team of engineers, designers, and AI researchers Influence the direction of our platform and playbooks from the ground up Enjoy autonomy, flexibility, and high ownership in a fast-growing startup Make a lasting impact on the way AI is used in high‑stakes environments
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