Neo4j
Senior AI Solutions Architect
Remote: United States · Senior
Sponsorship not specifiedDetected 18 hours ago
JavaScriptPythonJavaC#GitSQLNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesLinuxDevOpsMachine LearningSparkData EngineeringData ScienceLLMsControlsLeadershipCommunicationCollaboration
About the role
- 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.
Responsibilities
- You will 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.
- You will 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.
- You will 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.
- You will 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
- You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks.
- We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive.
Requirements
- LLM Proficiency: 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications.
- Cloud Computing Expertise: Demonstrated expertise in deploying and scaling applications across cloud platforms (AWS, Azure, GCP), with a strategic understanding of cloud-native architecture and DevOps best practices.
- Hands-on experience with big data technologies (e.g., Hadoop, Spark, Hive) and database systems (SQL and NoSQL)
- Communication and Collaboration Skills: Exceptional communication and stakeholder engagement skills, with a demonstrated ability to influence cross-functional teams and align technical decisions with business goals.
- Problem-Solving and Analytical Abilities: Strong analytical mindset with the ability to break down complex problems, architect AI solutions, and mentor teams through implementation
- 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#), with a proven track record of delivering clean, maintainable, and scalable code within complex systems.
- Deep hands-on experience with deployment tooling across Linux, Docker, and Kubernetes environments, along with expert-level use of version control systems (e.g., Git, SVN) in enterprise development workflows.
Skills
- The annual on target earnings range for this position based in the United States is listed below.
- Intelligence that works.
- Results that matter.
- Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems.
Compensation
- The annual on target earnings range for this position based in the United States is listed below.
Benefits
- Education & Enablement:
- Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.
Company info
- You will 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.
- At Neo4j, we have always strived to help the world make sense of data.
This listing is sourced directly from Neo4j's careers page and normalized into a canonical job model.