Senior Solutions Engineer
About ArangoDB
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 at arango.ai, LinkedIn, and G2.
Location: West Coast, Bay Area
Only candidates located in the San Francisco Bay Area will be considered for the position. While this is a work-from-home role, some travel to client locations will be required.
Extra points for:
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:
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 foundation—graph, vector, document, and key-value—with 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 Platform—connecting 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 relationships—not just retrieve documents.
Core capabilities include:
→ multimodal ingestion + AutoGraph for automated knowledge graph creation
→ GraphRAG and natural-language querying via AQLizer
→ Graph Visualizer for interactive exploration and explainability
→ Graph Analytics and GraphML for relationship-driven insights
→ 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.
