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