Senior AI Solutions Architect
Core
Lead the design, construction, and deployment of production-ready AI solutions combining graph databases and Large Language Models (LLMs) for enterprise clients.
Role type
Senior IC AI Solutions Architect (Graph + GenAI)
Builds
Scalable Graph+GenAI systems and production AI applications
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, Kubernetes/Docker deployment, Cloud-native architecture (AWS/Azure/GCP), Generative AI frameworks (LangChain, LlamaIndex, Haystack), Graph data modeling (Cypher, Neo4j), Data pipeline design
Preferred skills
Experience with big data technologies (Hadoop, Spark), Triple stores (Ontotext, Stardog), Open-source LLMs
Technologies
Neo4j, AWS Bedrock, Google Vertex AI, Azure ML, LangChain, LlamaIndex, Haystack, Kubernetes, Docker, Git, Cypher
Responsibilities
Design and advocate for robust, scalable solution architectures for Graph+GenAI systems; Engage with technical leaders to shape implementation of high-impact AI solutions; Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs; Collaborate with customer leadership to translate strategic objectives into AI solutions; Share expertise internally and with customers through workshops and documentation.
Seniority
Senior, hands-on IC
