Customer Solution Architect — Arango AI Product Suite

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Customer Solution Architect — Arango AI Product Suite About Arango: Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale. The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI. Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens,, Matpriskollen, 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. Learn more at,LinkedIn, andG2. About the role Arango is hiring a Customer Solution Architect to be the primary professional services interface between Arango and the customers deploying our AI product suite. You own the technical relationship end to end, from first discovery through production and expansion. Your job is to turn a customer's problem into a working architecture on Arango's multi-model platform and its GraphRAG and knowledge-graph capabilities, prove value early, and guide the customer's team through deployment and adoption. The role sits where solution architecture, graph data modeling, and applied AI meet. It suits someone who can hold a design conversation with a customer's chief architect in the morning and review a GraphRAG retrieval design with their engineers in the afternoon. Deep graph expertise is not optional here. It is the core of how Arango's AI suite delivers value, and the CSA is expected to be the customer's most trusted source of graph and GraphRAG design judgment. Key responsibilities 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, and qualify them against real business outcomes. Design target architectures on Arango's multi-model platform, including graph data models, AQL query and traversal patterns, and GraphRAG retrieval design tailored to the customer's domain. 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: graph schema, data connectors, GraphRAG pipelines, tool and agent orchestration, APIs. Guide production deployment into secure, observable services alongside the customer's engineers, with CI/CD, infrastructure-as-code, and proper testing. Architect retrieval across graph traversal, vector search, and hybrid approaches (chunking, embeddings, ranking, caching), and orchestrate tool and agent calls. Establish evaluation practices and iterate on prompts, models, retrieval strategy, and graph structure using offline and online metrics and A/B tests. Design data pipelines (ETL/ELT), vector indices, graph ingestion, and metadata governance. Define monitoring for quality, drift, hallucination and guardrail events, latency, and cost, and stand up alerting and dashboards with the customer. Architect role-based access, secrets management, audit logging, PII redaction, and content safety controls. Meet customer compliance requirements (SOC 2/ISO 27001, GDPR/CCPA, HIPAA as applicable). 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,

客户解决方案架构师 — Arango AI 产品套件 关于 Arango：Arango 提供一个统一的、原生多模型上下文数据平台，为 AI 智能体、助手和应用程序提供统一的、实时的、可信的业务上下文，使其能够大规模地推理、决策和行动。Arango 上下文数据平台通过开箱即用的简化架构，将碎片化的企业数据与 LLM、copilot 和 AI 智能体连接起来。通过将图、向量、文档、键值和搜索能力整合到单一平台中，Arango 消除了许多组织为落地企业 AI 而构建的复杂技术栈。Arango 受到 NVIDIA、HPE、London Stock Exchange、PSI CRO、U.S. Air Force、NIH、Siemens、Matpriskollen 和 Articul8 等组织的信赖，帮助企业更快地从 AI 试点迈向可靠的生产系统，同时降低基础设施复杂性和总拥有成本。Arango 是 NVIDIA Inception Program 和 AWS ISV Accelerate Program 的自豪成员。了解更多请访问、LinkedIn 和 G2。 关于该职位 Arango 正在招聘一名客户解决方案架构师，作为 Arango 与部署我们 AI 产品套件的客户之间的主要专业服务接口。你端到端地负责技术关系，从首次发现到生产及扩展。你的工作是将客户的问题转化为基于 Arango 多模型平台及其 GraphRAG 和知识图谱能力的可运行架构，尽早证明价值，并引导客户团队完成部署和采用。该职位处于解决方案架构、图数据建模和应用 AI 的交汇点。它适合这样的人：上午能与客户的首席架构师进行设计讨论，下午能与他们的工程师审查 GraphRAG 检索设计。深厚的图专业知识在这里不是可选项。它是 Arango AI 套件交付价值的核心，CSA 应成为客户在图和 GraphRAG 设计判断方面最可信赖的来源。 主要职责 作为主要专业服务联系人，在完整生命周期内（发现、设计、试点、生产和扩展）负责技术客户关系。 与客户发起人、领域专家和运营人员开展发现工作，识别 Arango AI 产品套件的高价值用例，并依据真实业务成果对其进行资格评估。 在 Arango 多模型平台上设计目标架构，包括图数据模型、AQL 查询和遍历模式，以及针对客户领域量身定制的 GraphRAG 检索设计。 定义成功标准、SLA/SLO、数据访问和治理要求，以及从价值验证到生产的阶段性交付计划。 构建参考实现和原型以尽早证明价值：图 schema、数据连接器、GraphRAG 流水线、工具和智能体编排、API。 与客户工程师一起指导生产部署，将其落地为安全、可观测的服务，包括 CI/CD、基础设施即代码和适当的测试。 设计跨图遍历、向量搜索和混合方法（分块、嵌入、排序、缓存）的检索架构，并编排工具和智能体调用。 建立评估实践，并使用离线和在线指标及 A/B 测试，对提示词、模型、检索策略和图结构进行迭代。 设计数据流水线（ETL/ELT）、向量索引、图摄取和元数据治理。 定义对质量、漂移、幻觉和护栏事件、延迟和成本的监控，并与客户一起搭建告警和仪表板。 设计基于角色的访问、密钥管理、审计日志、PII 脱敏和内容安全控制。 满足客户合规要求（SOC 2/ISO 27001、GDPR/CCPA、HIPAA，视适用情况而定）。 产出架构文档、运行手册和可复用模式，并培训客户工程师和最终用户。 作为客户的声音，向 Arango 的产品和工程团队反馈，

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