Senior AI Solutions Architect

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $200k - $265k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Neo4j

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • 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 combining graph databases and AI • Advise strategic customers on complex data challenges and transformative business value • Engage technical leaders, stakeholders, and strategic partners to guide Graph+GenAI implementations • Design and advocate for robust, scalable solution architectures • Discover requirements, assess enterprise data ecosystems, and identify opportunities for graph-based AI at scale • Lead stakeholder engagement to manage scope, priorities, risks, delivery, and measurable business impact • Develop, test, and deploy production-ready AI applications integrating graph databases, LLMs, and orchestration frameworks • Write production-level code and optimize AI applications for performance and scalability • Evaluate and improve deployed AI application performance, scalability, and efficiency • Collaborate with Product and Marketing teams to influence the roadmap • Package best practices and lessons learned into thought leadership, methodologies, and published assets • Deliver workshops, training sessions, and documentation for internal teams and customers • Maintain continuous learning on the evolving generative AI landscape

🎯 Requirements

• 7+ years of experience architecting and delivering enterprise-grade applications • Deep understanding of the full software development lifecycle • 2+ years of experience working with Large Language Models, including prompt engineering, fine-tuning, and LLM integration • Up-to-date knowledge of LLM providers and open-source LLMs • Advanced proficiency in at least one major programming language, such as Java, JavaScript, Python, or C# • Proven record of delivering clean, maintainable, and scalable code • Deep hands-on experience with Linux, Docker, and Kubernetes deployment tooling • Expert-level use of version control systems such as Git or SVN • Expertise deploying and scaling applications across AWS, Azure, or GCP • Strategic understanding of cloud-native architecture and DevOps best practices • In-depth knowledge of generative AI frameworks such as LangChain, LlamaIndex, or Haystack • Familiarity with AWS Bedrock, Google Vertex AI, or Azure ML • Strong background in data engineering, analytics, or data science • Ability to design data pipelines and workflows across structured and unstructured data • Hands-on experience with Hadoop, Spark, or Hive • Experience with SQL and NoSQL database systems • Deep expertise in graph data modeling and query languages such as Cypher • Practical experience with graph databases such as Neo4j, Amazon Neptune, or TigerGraph, or triple stores such as Ontotext or Stardog • Exceptional communication and stakeholder engagement skills • Strong analytical and problem-solving abilities • Willingness and ability to travel up to 50%

🏖️ Benefits

• Stock option grant • Annual bonus eligibility for certain roles • Medical benefits • Dental benefits • Vision benefits • 401(k) • Paid time off • Certain leaves of absence • Inclusive, diverse, and equitable workplace • Collaboration and employee empowerment • Up to 50% customer travel opportunity