Sr. AI Solutions Architect

Overview

Lead the design, development, and deployment of production-ready AI solutions combining graph databases, large language models, and orchestration frameworks. Advise strategic customers on complex data challenges and translate their needs into scalable Graph+GenAI applications.

What you'll do

• Design and advocate for scalable Graph+GenAI solution architectures.
• Lead requirements discovery and assess enterprise data ecosystems.
• Develop, test, and deploy AI applications integrating graph databases with LLMs.
• Write production-level code and optimize application performance and scalability.
• Engage stakeholders to align scope, priorities, risks, and delivery.
• Deliver customer workshops, training sessions, and technical documentation.
• Share field insights and best practices with Product, Marketing, and other teams.

What you'll need

• 7+ years architecting and delivering enterprise-grade applications.
• 2+ years working with LLMs, including prompt engineering, fine-tuning, and integration.
• Advanced proficiency in at least one major programming language.
• Hands-on experience with Linux, Docker, Kubernetes, and enterprise version control.
• Expertise deploying and scaling applications on AWS, Azure, or GCP.
• In-depth knowledge of generative AI frameworks and cloud-native AI platforms.
• Deep expertise in graph data modeling, query languages, and graph databases.

Details

• Remote within the United States.
• Travel up to 50%.
• Annual on-target earnings: $200,000–$265,000 USD.