Customer Solution Architect โ Arango AI Product Suite
Paris, Ile-de-France, France ยท On-site
Senior$47M raised
Customer Solution Architect โ Arango AI Product Suite About Arango: Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, aโฆ
Skills: Graph Data Modeling, GraphRAG, AQL, Python, LLMs
Polรจne Paris
QA Engineer H/F
Paris, Ile-de-France, France ยท On-site
Mid level$1M raised
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Customer Solution Architect โ Arango AI Product Suite
Sign up with Clera and we'll reach out the moment a role actually fits you โ no more spraying applications into the void.
Full-time
Posted 39d ago
Apply by Oct 18
~40 hrs/week
Responsibilities
Act as the primary technical interface for customers deploying the Arango AI product suite, managing the relationship from discovery to production. Design target architectures using multi-model platforms, GraphRAG, and knowledge graphs to solve complex business problems.
Requirements
Requires 5+ years of experience in software engineering or solution architecture with deep expertise in graph data modeling and GraphRAG. Proficiency in Python, modern LLMs, and cloud-native infrastructure is essential.
Full job description
Customer Solution Architect — Arango AI Product Suite
About Arango:
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale.
The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.
Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens,Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more atarango.ai,LinkedIn, andG2.
About the role
Arango is hiring a Customer Solution Architect to be the primary professional services interface between Arango and the customers deploying our AI product suite. You own the technical relationship end to end, from first discovery through production and expansion. Your job is to turn a customer's problem into a working architecture on Arango's multi-model platform and its GraphRAG and knowledge-graph capabilities, prove value early, and guide the customer's team through deployment and adoption. The role sits where solution architecture, graph data modeling, and applied AI meet. It suits someone who can hold a design conversation with a customer's chief architect in the morning and review a GraphRAG retrieval design with their engineers in the afternoon. Deep graph expertise is not optional here. It is the core of how Arango's AI suite delivers value, and the CSA is expected to be the customer's most trusted source of graph and GraphRAG design judgment.
Key responsibilities
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, domain experts, and operators 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 and traversal patterns, and GraphRAG retrieval design tailored to the customer's domain.
Define success criteria, SLAs/SLOs, data access and governance requirements, and a phased delivery plan from proof of value to production.
Build reference implementations and prototypes that prove value early: graph schema, data connectors, GraphRAG pipelines, tool and agent orchestration, APIs.
Guide production deployment into secure, observable services alongside the customer's engineers, with CI/CD, infrastructure-as-code, and proper testing.
Architect retrieval across graph traversal, vector search, and hybrid approaches (chunking, embeddings, ranking, caching), and orchestrate tool and agent calls.
Establish evaluation practices and iterate on prompts, models, retrieval strategy, and graph structure using offline and online metrics and A/B tests.
Design data pipelines (ETL/ELT), vector indices, graph ingestion, and metadata governance.
Define monitoring for quality, drift, hallucination and guardrail events, latency, and cost, and stand up alerting and dashboards with the customer.
Produce architecture documentation, runbooks, and reusable patterns, and train customer engineers and end users.
Act as the voice of the customer to Arango's product and engineering teams, shaping the roadmap with what we learn in the field.
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 is valued given Arango's platform.
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.
Nice to have
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.
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.
What success looks like (6–12 months)
2 to 4 customer deployments of Arango's AI suite live in production against agreed uptime, latency, and cost targets.
Measurable quality and business outcomes (task accuracy, deflection rate, cycle time) backed by evaluation and telemetry.
Reusable graph and GraphRAG reference architectures and connectors adopted by the broader delivery team and by customers.
Customer teams enabled and self-sufficient, with runbooks, documentation, and training in place, and strong satisfaction and NPS.
A credible field feedback loop feeding Arango's product and engineering roadmap.
At Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI. Working at Arango means:
Contributing to cutting-edge AI and data infrastructure
Collaborating with experienced engineers, marketers, and product leaders
Helping shape how enterprises build AI-powered applications
If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
Arango provides the trusted data foundation for enterprise AI through its Contextual Data Platform, transforming fragmented enterprise data into a contextual data layer that enables AI systems to operate with business context at scale.
The Arango Contextual Data Platform gives developers a single, integrated environment to build and run AI-powered applications, agents, and assistants without stitching together multiple databases, search systems, and AI infrastructure. It combines a multimodel data foundationโgraph, vector, document, and key-valueโwith built-in search and governance capabilities. This enables AI agents to ground responses in enterprise context, navigate relationships across data types, and take reliable, state-aware actions based on real-time data.
The Arango Agentic AI Suite is the agent layer of the Arango Contextual Data Platformโconnecting LLMs to governed enterprise data through contextual retrieval and tool-based execution.
It turns fragmented data into context-rich knowledge graphs using AutoGraph and multi-modal RAG pipelines (GraphRAG, VectorRAG, and HybridRAG), enabling agents to reason over relationshipsโnot just retrieve documents.
Core capabilities include:
โ multimodal ingestion + AutoGraph for automated knowledge graph creation
โ GraphRAG and natural-language querying via AQLizer
โ Graph Visualizer for interactive exploration and explainability
โ Graph Analytics and GraphML for relationship-driven insights
โ integration with LLMs and ML tooling for agent execution
The result: context-aware, governed agent workflows that enable agents to reason, decide, and act with full business context, delivering explainable and auditable outcomes.
Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale.
We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and YouTube.
Offices: 548 Market St, San Francisco, CA 94104, US
AI Data PlatformVector StoreGenAIGraphRAGHybridRAGGraphMLNetworkXNvidiaAgentic AIArtificial Intelligence
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