Sr. AI Solutions Architect
Core
Lead the design, construction, and deployment of AI solutions combining graph databases and LLMs to solve complex data challenges for strategic enterprise customers.
Role type
Senior IC AI Solutions Architect (Graph + GenAI)
Builds
Production-ready Graph+GenAI applications and scalable solution architectures
Domain
Enterprise AI, Graph Databases, Generative AI
Deliverable
production ML models | product features
Required skills
Enterprise application architecture, LLM integration (prompt engineering, fine-tuning), Python/Java/C#/JavaScript, Cloud-native deployment (AWS/Azure/GCP), Kubernetes/Docker, Generative AI frameworks (LangChain, LlamaIndex, Haystack), Graph data modeling (Cypher, Neo4j), Data engineering pipelines
Preferred skills
Experience with big data technologies (Hadoop, Spark), Triple stores (Ontotext, Stardog), Open-source LLM providers
Technologies
Neo4j, AWS Bedrock, Google Vertex AI, Azure ML, LangChain, LlamaIndex, Haystack, Kubernetes, Docker, Git, Cypher
Responsibilities
Design and advocate for robust, scalable Graph+GenAI solution architectures; Engage with technical leaders to shape implementation of Graph+GenAI solutions; Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs; Collaborate with customer leadership to translate strategic objectives into high-impact AI solutions; Share expertise through workshops, training sessions, and documentation to empower customers; Influence product roadmap and package best practices into thought leadership assets
Seniority
Senior, hands-on IC
