AI Solutions Architect

📋 Description

• Partner with customer leads and executives to deliver Graph+GenAI implementations.
• Propose architectures and deploy Graph+GenAI solutions for complex requirements.
• Translate business objectives into AI solutions using graph DBs and LLMs.
• Manage project scope, priorities, deliverables, risks, and timelines.
• Develop, test, and deploy production AI apps integrating graph DBs with LLMs.
• Improve performance, scalability, and efficiency of deployed AI apps.

🎯 Requirements

• 5+ years of enterprise application development.
• 2+ years with LLMs, prompt engineering, and integration.
• Proficiency in Java, JavaScript, Python, or C#.
• Deployment on Linux, Docker, Kubernetes; Git and SVN.
• Cloud platforms: AWS, Azure, or GCP.
• Graph database expertise: Cypher; Neo4j/Neptune; travel willing.

🎁 Benefits

• Inclusive culture focused on relationships and innovation.
• Shape graph databases and AI solutions.
• Work with Fortune 100 and global customers.
• Ongoing GenAI and cloud-technology learning.
• Collaborative, customer-success oriented team.