About this role
Guiding technical leaders through complex implementations, this role involves designing and building Graph and GenAI solutions that combine graph databases with large language models. Strategic customer engagements require leading discovery phases, translating business needs into production-ready architectures, and writing robust code for deployed applications. Neo4j operates a graph intelligence platform that helps organizations transform data into connected knowledge for intelligent systems.
Working closely with enterprise stakeholders, this specialist ensures technical execution aligns with measurable business outcomes while also partnering with internal product teams to shape future roadmaps. A strong background in enterprise application design, cloud infrastructure, and graph data modeling is essential for success. Candidates who thrive here possess deep technical proficiency paired with strong communication skills to steer high-impact projects from concept to production.
What you will do
- Engage with technical leaders and strategic partners to shape the successful implementation of Graph and GenAI solutions.
- Design robust and scalable solution architectures aligned with complex enterprise requirements and industry best practices.
- Translate strategic objectives into high-impact AI applications that harness the synergy of graph databases and LLMs.
- Develop, test, and deploy production-ready AI applications integrating graph databases with orchestration frameworks.
- Collaborate with Product and Marketing teams to influence the roadmap and provide insights from the field.
- Share expertise internally and with customers through workshops, training sessions, and documentation.
- Travel up to 50% to engage with customers, lead strategic discussions, and ensure successful project execution.
What you need
- Candidates need at least 7 years of experience architecting and delivering enterprise-grade applications.
- At least 2 years of experience working with Large Language Models, including prompt engineering and fine-tuning.
- Advanced proficiency in at least one major programming language such as Java, JavaScript, Python, or C#.
- Hands-on experience with deployment tooling across Linux, Docker, and Kubernetes environments.
- Demonstrated expertise in deploying and scaling applications across major cloud platforms like AWS, Azure, or GCP.
- In-depth knowledge of the generative AI ecosystem including frameworks like LangChain, LlamaIndex, or Haystack.
- Deep expertise in graph data modeling and query languages like Cypher alongside practical graph database experience.
Benefits
- Medical, dental, and vision benefits
- 401(k)
- Paid time off
- Certain leaves of absence
- Stock option grant
- Annual bonus eligibility
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
This position is listed as remote within the United States.
What is the salary range for this role?
The annual on target earnings range for this position based in the United States is $200,000 to $265,000 USD. Actual earnings may vary based on compensation practices, skills, experience, certifications, and geographic location.
What kind of travel is expected for this role?
The role requires a willingness and ability to travel up to 50% to engage with customers, lead strategic discussions, and ensure successful project execution.