Customer Solution Architect – Arango AI Product Suite

ArangoDB

Customer Solution Architect responsible for technical relationships and deploying Arango's AI product suite. Designing architectures, guiding deployments, and ensuring success for customer projects.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in graph data modeling and applied AI, with hands-on experience in building production systems and guiding customer deployments. Proficient in designing architectures and establishing evaluation practices for AI products on multi-model platforms.

Highest-signal resume keywords

Graph Data ModelingApplied AIPython ProgrammingCloud Computing (AWS/GCP/Azure)Graph Query Languages (AQL, Cypher, Gremlin)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Graph Data ModelingGraph Query and TraversalApplied AIPython ProgrammingDatabase Skills (Graph, NoSQL, Key-Value, Document)Modern LLMs and ToolingRetrieval Databases (FAISS, pgvector, Pinecone, Weaviate)Cloud and ContainersDockerKubernetes

Soft Skills

Customer-Facing Communication

Tools & Technologies

AWSGCPAzureDockerKubernetesTerraformCloudFormationCI/CD

Industry Keywords

Technical Professional ServicesSolution ArchitectureProduction SystemsData Access and GovernanceEvaluation Practices

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesNoSQLPythonTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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