Neo4j
AISolutionsArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Solutions Architect at Neo4j. Skills: Graph Databases, GenAI, LLMs, Solution Architecture. Partner with customer leads. Deliver successful implementations”
What You'll Achieve.
Successful customer outcomes
Industry & Context.
Problem-solving; Analytical abilities; Address complex challenges; Design effective solutions
Ability to travel
What They're Looking For.
Must Have
5+ years enterprise application development, 2+ years LLM experience, Competence in Java, JavaScript, Python, or C#, Hands-on deployment experience, Proficiency in Git and SVN, Practical cloud platform experience, Foundation in data engineering, Experience with big data technologies, Experience with SQL and NoSQL, Deep understanding of graph database concepts, Hands-on graph database experience, Excellent communication skills, Excellent interpersonal skills, Problem-solving abilities, Analytical abilities
Nice to Have
Kubernetes experience a plus
What You'll Do.
Partner with customer leads
Deliver successful implementations
Propose solution architectures
Manage deployment of solutions
Engage with customers
Understand business objectives
Translate objectives into solutions
Understand data landscapes
Identify opportunities for AI
Interact with stakeholders
Manage project priorities
Manage project deliverables
Manage project issues
Manage project timelines
Develop AI applications
Deploy AI applications
Integrate graph databases with LLMs
Integrate orchestration frameworks
Write production-level code
Optimize for performance
Optimize for scalability
Ensure seamless integration
Evaluate application performance
Improve application scalability
Improve application efficiency
Incorporate new techniques
Incorporate new technologies
Collaborate with Product team
Collaborate with Marketing team
Provide field insights
Package best practices
Package lessons learned
Create thought leadership
Create published assets
Share expertise internally
Share expertise with customers
Conduct training sessions
Maintain continuous learning
Stay up-to-date with GenAI
Seek knowledge of new trends
Seek knowledge of new technologies
How You'll Work.
Team & Collaboration
Customer technical leads; Customer executives; Partners; Internal Neo4j teams; Customers
Communication Scope
Customer communication; Internal communication; Stakeholder interaction
Process & Methodology
Project scope management, Project priorities management, Project deliverables management, Project risk management, Project issue management, Project timeline management
Full Job Description
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Key Responsibilities Solution Architecting: Partner with customer technical leads, customer executives, and partners to manage and deliver successful implementations of Graph+GenAI solutions becoming a trusted advisor to decision-makers throughout the engagement. Propose solution architectures and manage the deployment of Graph+GenAI solutions according to complex customer requirements and implementation best practices. Engage directly with customers to understand their business objectives and translate them into AI-powered solutions that leverage graph databases and LLMs. This includes gathering requirements, understanding existing data landscapes, and identifying opportunities to apply graph-based AI to solve business challenges. Interact with customer stakeholders to manage project scope, priorities, deliverable
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