Customer Solution Architect — Arango AI Product Suite

📋 Description

• Own technical engagements from discovery through deployment and expansion.
• Lead discovery with executives and technical teams to identify AI use cases and business outcomes.
• Design target architectures using multimodel data platforms, graphs, and GraphRAG retrieval.
• Define success criteria, SLAs/SLOs, governance, and phased delivery for production readiness.
• Build reference implementations with graph models, APIs, and AI agent orchestration.
• Guide secure, observable deployments with CI/CD, IaC, testing, and monitoring.

🎯 Requirements

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

🎁 Benefits

• Cutting-edge AI, graph, and contextual data infra.
• Senior-level exposure to enterprise AI transformations.
• Opportunity to influence product roadmaps via customer insights.
• Exposure to modern AI, retrieval, MLOps, cloud, and observability tech.
• Remote work with cross-team collaboration.
• Chance to develop reusable architectures for broader deployments.