Customer Solution Architect – Arango AI Product Suite

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🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 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

• Own the technical customer relationship as the primary professional services contact across the full lifecycle: discovery, design, pilot, production, and expansion • Run discovery with customer sponsors, domain experts, and operators to identify high-value use cases for Arango's AI product suite • Design target architectures on Arango's multi-model platform, including graph data models • Define success criteria, SLAs/SLOs, data access and governance requirements, and a phased delivery plan from proof of value to production • Build reference implementations and prototypes that prove value early • Guide production deployment into secure, observable services alongside the customer's engineers • Establish evaluation practices and iterate on prompts, models, retrieval strategy, and graph structure using offline and online metrics and A/B tests • Produce architecture documentation, runbooks, and reusable patterns, and train customer engineers and end users • Act as the voice of the customer to Arango's product and engineering teams.

🎯 Requirements

• Deep graph knowledge (central to this role) • Hands-on expertise in graph data modeling, graph query and traversal (AQL, or equivalents such as Cypher or Gremlin) • 5+ years in software engineering, solution architecture, or technical professional services, including building and operating production systems • Strong applied AI and Python skills • Strong database skills across graph, NoSQL, key-value, and document models • Hands-on experience with modern LLMs and tooling • Retrieval and vector databases (FAISS, pgvector, Pinecone, Weaviate, or similar) • Cloud and containers (AWS/GCP/Azure), Docker/Kubernetes, IaC (Terraform/CloudFormation), and CI/CD • Excellent customer-facing communication.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events