Customer Solution Architect — Arango AI Product Suite

📋 Description

• Own technical engagements from discovery through production deployment and expansion.
• Lead executive-level discovery to identify AI use cases and map to business outcomes.
• Design target architectures using multimodel data platforms, graph schemas, and GraphRAG retrieval.
• Define success criteria, SLAs/SLOs, governance, and phased delivery plans.
• Build reference implementations covering graph models, pipelines, APIs, and AI agent orchestration.
• Guide customers through secure, observable production deployments with CI/CD and IaC.

🎯 Requirements

• 5+ years in software engineering, solution architecture, or technical professional services.
• Deep hands-on expertise in graph data modeling, graph queries, knowledge graphs, and GraphRAG for
• Strong Python and applied AI skills; familiarity with data structures, systems design, concurrency
• Experience with graph/NoSQL/key-value/document databases and multi-model databases.
• Hands-on experience with OpenAI, Anthropic, Llama, Hugging Face, LangChain, and tool calls.
• Knowledge of retrieval/vector tech (FAISS, pgvector, Pinecone, Weaviate) and hybrid graph-vector

🎁 Benefits

• Cutting-edge AI, graph, and contextual data infrastructure work.
• Senior exposure to enterprise customers and complex AI transformations.
• Opportunity to influence product/engineering roadmaps via customer insights.
• Remote work with collaboration across experienced teams.
• Reusable architectures to scale across deployments.
• Impactful role in moving AI from experimentation to production.