Full-Time AI Solutions Consultant

As an AI Solutions Consultant at Neo4j, you will drive transformative change by designing, building, and deploying innovative solutions that combine the power of graph databases and AI. You'll work hands-on to develop scalable, production-grade solutions while acting as a trusted advisor to strategic customers, translating complex data challenges into tangible business value.

Key Responsibilities:

• Solution Architecting: Manage and deliver successful implementations of Graph+GenAI solutions, propose solution architectures, and translate business objectives into AI-powered solutions.
• Solution Engineering: Develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks.
• Education & Enablement: Influence the roadmap, provide insights from the field, and share expertise internally and with customers.

Required Qualifications:

• Enterprise Application Development: 5+ years of experience in designing and developing enterprise-class applications.
• LLM Proficiency: 2+ years of experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications.
• Programming Proficiency: Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, or C#.
• Deployment and Version Control: Hands-on experience with deployment software on major platforms, such as Linux, Docker, and Kubernetes, and proficiency in source control software, including Git and SVN.
• Cloud Computing Expertise: Practical experience with cloud platforms (e.g., AWS, Azure, GCP).
• Generative AI Ecosystem Knowledge: Deep understanding of the generative AI ecosystem, including AI orchestration frameworks.
• Data Expertise: Strong foundation in data engineering, data analytics, or data science.
• Graph Database Expertise: Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher).
• Communication and Collaboration Skills: Excellent communication and interpersonal skills to effectively collaborate with customers and internal teams.
• Problem-Solving and Analytical Abilities: Strong analytical and problem-solving abilities to address complex technical challenges.

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