Customer Solution Architect — Arango AI Product Suite

Added
7 days ago
Type
Full time
Salary
Salary not provided

Related skills

llms langchain graph databases retrieval pinecone

📋 Description

  • Own technical customer relationships across discovery, design, pilots, production deployment, and
  • Lead discovery sessions with executives and technical teams to identify AI use cases and business
  • Design target architectures using multimodel data platforms, knowledge graphs, and GraphRAG
  • Define success criteria, SLAs/SLOs, governance, and phased delivery plans for production readiness.
  • Build reference implementations covering graph models, data connectors, APIs, and AI agent
  • Guide secure, observable production deployments with CI/CD and infrastructure-as-code practices.

🎯 Requirements

  • 5+ years in software engineering, solution architecture, or technical services in production
  • Hands-on graph data modeling, graph queries, knowledge graphs, and GraphRAG or graph-backed
  • Strong Python and applied AI skills; solid data structures, systems design, concurrency, and
  • Experience with graph/NoSQL/key-value/document databases; multi-model database experience is a plus.
  • Experience with modern LLMs and AI frameworks (OpenAI, Anthropic, Llama, Hugging Face, LangChain
  • Knowledge of retrieval/vector tech (FAISS, pgvector, Pinecone, Weaviate) including hybrid

🎁 Benefits

  • Opportunity to work on cutting-edge AI, graph, and data infrastructure.
  • Senior-level exposure to enterprise customers and complex AI transformations.
  • Influence product and engineering roadmaps via customer insights.
  • Remote work with cross-team collaboration.
  • Develop reusable architectures impacting broader deployments.
  • Help organizations move AI from experimentation to production.
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