Sr. AI Solutions Architect

As a Sr. AI Solutions Architect, you will lead the design, construction, and deployment of AI solutions that combine the power of graph databases and AI. You will act as a trusted advisor to our strategic customers, guiding them through complex data challenges and delivering transformative business value.

You will have a great understanding of graph technologies, LLMs, and AI frameworks, and will be able to translate customer needs into production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs.

Key Responsibilities:

Solution Architecting:

• Engage with technical leaders, stakeholders, and strategic partners to shape and guide the successful implementation of Graph+GenAI solutions, serving as a trusted advisor and thought partner to decision-makers throughout complex, high-impact engagements.
• Design and advocate for robust, scalable solution architectures, leading the deployment of Graph+GenAI systems aligned with complex enterprise requirements and industry best practices, driving architectural excellence and long-term value.
• Collaborate closely with customer leadership to deeply understand their strategic objectives, translating them into high-impact AI solutions that harness the synergy of graph databases and LLMs. This includes leading the discovery of requirements, assessing enterprise data ecosystems, and identifying innovative opportunities to apply graph-based AI at scale.
• Lead stakeholder engagement across all levels to steer project scope, align on priorities, mitigate risks, and ensure timely delivery—ensuring alignment between technical execution and business outcomes while maintaining a focus on measurable impact.

Solution Engineering:

• Develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems.
• Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge.

Education & Enablement:

• Work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
• Share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver.
• Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.