Customer Solution Architect — Arango AI Product Suite

ArangoDB
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Customer communication"]

Own the end-to-end technical relationship with customers deploying an AI product suite, from discovery to design, pilot, production, and expansion. Translate customer problems into reference architectures on Arango’s multi-model platform, including GraphRAG and knowledge-graph design. Build prototypes and reference implementations, guide secure/observable deployments with CI/CD and infrastructure-as-code, and iterate on retrieval and evaluation using offline/online metrics and A/B tests.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
ArangoDB
ArangoDB
1 month ago

Customer Solution Architect — Arango AI Product Suite

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own the end-to-end technical relationship with customers deploying an AI product suite, from discovery to design, pilot, production, and expansion. Translate customer problems into reference architectures on Arango’s multi-model platform, including GraphRAG and knowledge-graph design. Build prototypes and reference implementations, guide secure/observable deployments with CI/CD and infrastructure-as-code, and iterate on retrieval and evaluation using offline/online metrics and A/B tests.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the technical customer relationship end to end as the primary professional services contact across discovery, design, pilot, production, and expansion.
  • •Design target architectures on Arango’s multi-model platform, including graph data models, AQL query/traversal patterns, and GraphRAG retrieval design tailored to the customer’s domain.
  • •Build reference implementations and prototypes to prove value early, including graph schema, data connectors, GraphRAG pipelines, tool/agent orchestration, and APIs.
  • •Guide production deployment into secure, observable services alongside customer engineers, using CI/CD, infrastructure-as-code, and proper testing.
  • •Establish evaluation and monitoring practices, architect hybrid retrieval (graph traversal/vector search), and iterate on prompts, models, retrieval strategy, and graph structure using metrics and A/B tests.

Key Requirements

  • •Deep graph expertise, including graph data modeling, graph query/traversal (AQL or equivalents like Cypher/Gremlin), graph algorithms, and knowledge-graph design for AI.
  • •Direct experience building GraphRAG or knowledge-graph-backed retrieval for LLM applications.
  • •5+ years in software engineering, solution architecture, or technical professional services, building and operating production systems.
  • •Strong applied AI and Python skills, plus systems design fundamentals (data structures, concurrency, networking).
  • •Experience with graph and hybrid retrieval using vector databases, plus cloud/container and CI/CD/deployment practices.
Experience:5+ years
Skills:Customer communication
Tech Stack:ArangoDBAQLGraphRAGCypherGremlinOpenAIAnthropicMeta LlamaLlamaHugging FaceLangChainLlamaIndexFunction and tool callingFAISSPgvectorPineconeWeaviateBM25Hybrid retrievalRe-ranking

Company Brief

ArangoDB
ArangoDB builds a multi-model database combining graph, document, and key-value models with a unified query language and managed cloud (Oasis), enabling scalable graph analytics, search, and ML use cases for enterprises.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Private Equity Backed
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor