Customer Solution Architect — Arango AI Product Suite
On-siteParis, Île-de-France, France
Job Summary
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 to identify high-value use cases for Arango's AI product suite and qualify them against real business outcomes. Design target architectures on Arango's multi-model platform, including graph data models, AQL query patterns, and GraphRAG retrieval design tailored to the customer's domain. Build reference implementations and prototypes that prove value early, then guide production deployment into secure, observable services alongside the customer's engineers. Establish evaluation practices, define monitoring for quality and guardrail events, and produce architecture documentation to train customer engineers. Act as the voice of the customer to Arango's product and engineering teams, shaping the roadmap with field feedback.
Required Qualifications
- 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), 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, including building and operating production systems
- Strong applied AI and Python skills, with a solid grasp of data structures, systems design, concurrency, and networking
- Strong database skills across graph, NoSQL, key-value, and document models
- Multi-model experience
- Hands-on experience with modern LLMs and tooling (OpenAI/Anthropic/Llama, Hugging Face, LangChain/LlamaIndex, function and tool calling)
- Retrieval and vector databases (FAISS, pgvector, Pinecone, Weaviate, or similar), and hybrid retrieval that combines graph and vector
- Cloud and containers (AWS/GCP/Azure), Docker/Kubernetes, IaC (Terraform/CloudFormation), and CI/CD
- Observability (metrics, logs, traces) and performance tuning for latency-sensitive services
- Excellent customer-facing communication, with the ability to lead technical conversations from the executive level down to the engineering team
Desired Qualifications
- Direct ArangoDB experience, or prior work deploying a graph database in production
- Search and IR fundamentals (BM25, hybrid retrieval, re-ranking, ColBERT, cross-encoders)
- Front-end or full-stack experience (TypeScript/React, Next.js) for light UI prototyping
- MLOps platforms and evaluation frameworks (MLflow, Weights & Biases, Ragas, promptfoo, DeepEval)
- Model adaptation and inference optimization awareness (LoRA/PEFT, DPO, distillation, quantization, vLLM/TGI/TensorRT-LLM), enough to advise on tradeoffs rather than to hand-build
- Domain experience in finance, healthcare, public sector, manufacturing, or retail
- Security and compliance familiarity: data residency, KMS/HSM, private networking
- French government or industry experience
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