Senior AI Solutions Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $265k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Neo4j

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

☁️ SaaS

🏢 Enterprise

SaaS • AI • Enterprise

Neo4j is a leading company that provides graph database technology, enabling organizations to connect and analyze vast amounts of data through its platform. As the creators of the Neo4j Graph Database and the Cypher query language, they offer solutions like Neo4j AuraDB and Neo4j Graph Data Science to help businesses deploy graph applications efficiently, whether self-managed or fully-managed. Their tools are designed for developers and data scientists to easily build and visualize graph-based applications, improving data relationships and insights. Neo4j supports various use cases, including fraud detection, knowledge graphs, and financial services, and is widely adopted by the developer and data science communities globally. With educational resources like GraphAcademy, they also support a large and growing global community of graph technology experts.

📋 Description

• Lead the design, construction, and deployment of AI solutions that combine the power of graph databases and AI. • Act as a trusted advisor to strategic customers, guiding them through complex data challenges and delivering transformative business value. • Engage with technical leaders, stakeholders, and strategic partners to shape and guide the successful implementation of Graph+GenAI solutions. • Design and advocate for robust, scalable solution architectures, leading the deployment of Graph+GenAI systems aligned with complex enterprise requirements. • Collaborate closely with customer leadership to deeply understand their strategic objectives, translating them into high-impact AI solutions. • Develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. • Work with other teams to influence the roadmap and provide insights from the field, and share expertise internally with stakeholders through workshops, training sessions, and documentation.

🎯 Requirements

• 7+ years of experience architecting and delivering enterprise-grade applications, with a deep understanding of the full software development lifecycle. • 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. • Advanced proficiency in at least one major programming language (e.g., Java, JavaScript, Python, or C#). • Deep hands-on experience with deployment tooling across Linux, Docker, and Kubernetes environments. • Demonstrated expertise in deploying and scaling applications across cloud platforms (AWS, Azure, GCP). • In-depth knowledge of the generative AI ecosystem, including frameworks (e.g., LangChain, LlamaIndex, Haystack). • Strong background in data engineering, analytics, or data science, with the ability to design data pipelines and workflows across structured and unstructured data. • Deep expertise in graph data modeling and query languages (e.g., Cypher). • Exceptional communication and stakeholder engagement skills. • Strong analytical mindset with the ability to break down complex problems, architect AI solutions, and mentor teams. • Willingness and ability to travel up to 50% to engage with customers, lead strategic discussions and ensure successful project execution.

🏖️ Benefits

• In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. • Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence.