Principal Solutions Architect (Professional Services) – AI & Deployment
About ArangoDB Arango makes your business data AI-ready, giving agents, apps, and assistants trusted context at scale. Every answer traceable. Every decision is governed. No more stitching together a vector store, a graph database, a search index, and a governance layer added as an afterthought. Arango’s Contextual Data Platform has it all built in, not bolted on. Trusted by organizations including NVIDIA, HPE, Zscaler, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Stop building Frankenstacks. Start building with Arango. Learn more at arango.ai We believe great innovation happens when curious, driven people collaborate. We are committed to building a diverse and inclusive team and supporting our employees and interns as they learn, grow, and contribute to shaping the future of enterprise AI.
About the Role
The Principal Solutions Architect – AI & Deployment plays a key role in helping customers deploy, operate, and scale our platform across both on‑premises and cloud environments. This position blends deep technical expertise with strong customer engagement skills to ensure successful Proof‑of‑Concepts (PoCs), smooth production deployments, and long‑term platform adoption. You’ll work closely with Engineering, Product, and Professional Services teams to deliver predictable, repeatable, and high‑quality deployment experiences. Location: RemoteKey Responsibilities 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. Required Qualifications 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.).
Preferred Qualifications
Experience with AI/ML workflows, RAG/GraphRAG, vector search, or agent‑based architectures. Background in Professional Services, customer‑facing engineering, or deployment engineering. Knowledge of licensing models, key management, or enterprise security practices. Experience with distributed systems, NoSQL databases, or multi‑model data platforms. What Makes Arango Special? At Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI. Working at Arango means: Contributing to cutting-edge AI and data infrastructure Collaborating with experienced engineers, marketers, and product leaders Helping shape how enterprises build AI-powered applications If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.