Principal Solutions Architect – AI & Deployment

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🔥 14 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

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ArangoDB

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

💰 $27.8M Series B on 2021-10

Software • SaaS • Artificial Intelligence

ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.

📋 Description

• Lead deployments of self-managed, Kubernetes-based environments across on-prem and cloud infrastructures. • Guide customers through environment readiness, hardware sizing, networking, and configuration requirements. • Install and configure operators, licenses, and supporting platform components. • Partner with Product, Engineering, and Professional Services to clarify requirements, success criteria, and deployment patterns. • Plan and execute PoCs, including scoping, milestones, communication cadence, and technical validation. • Conduct architecture reviews focused on scalability, reliability, security, and operational best practices. • Troubleshoot installation, orchestration, and runtime issues across Kubernetes, containers, and distributed systems. • Develop and maintain deployment guides, runbooks, reference architectures, and best-practice documentation. • Support customer demos and technical walkthroughs using real or representative datasets. • Manage expectations around performance, reliability, and operational boundaries throughout the engagement lifecycle. • Maintain clear engagement plans, status updates, and decision logs to ensure alignment across teams.

🎯 Requirements

• 15+ years of experience building, creating complex solutions • Hands-on experience deploying and operating software on Kubernetes (on-prem and cloud). • Strong Linux fundamentals and experience with containerization technologies. • Experience sizing and configuring environments for data-intensive or distributed systems. • Familiarity with distributed databases; graph or multi-model database experience is a plus. • Strong communication skills with the ability to lead technical discussions and guide customers through complex decisions. • Proven ability to troubleshoot performance, capacity, and operational issues in production-grade environments. • Experience running PoCs end-to-end, including planning, execution, and success measurement. • Comfortable using modern collaboration tools (ClickUp, Slack, etc.).

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities