Senior AI Solutions Architect

📋 Description

• Engage with technical leaders and stakeholders to shape Graph+GenAI solutions.
• Design robust, scalable architectures for Graph+GenAI deployments.
• Translate customer needs into production AI apps using Neo4j graphs.
• Lead discovery, assess enterprise data ecosystems, and enable scale.

🎯 Requirements

• Enterprise Architecture: 7+ years delivering enterprise apps & SDLC guidance.
• LLM Proficiency: 2+ years with LLMs, prompts, fine-tuning, integration.
• Programming Proficiency: Advanced in Java, Python, or JavaScript.
• Deployment & Version Control: Linux, Docker, Kubernetes; Git/SVN.
• Cloud Computing: AWS, Azure, GCP; cloud-native architecture.
• Generative AI Ecosystem: LangChain, LlamaIndex, Haystack; cloud platforms.

🎁 Benefits

• Stock option grant and potential annual bonus.
• Medical, dental, and vision benefits.
• 401(k) retirement plan.
• Paid time off and leaves of absence.
• Opportunities to work with cutting-edge graph tech and a collaborative culture.
• Inclusive, diverse workplace.