AI Solutions Architect

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $160k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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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

• Engage with technical leaders, stakeholders, and strategic partners to guide implementation of Graph+GenAI solutions • Serve as a trusted advisor and thought partner to decision-makers during complex, high-impact engagements • Design and advocate for robust, scalable solution architectures • Lead deployment of Graph+GenAI systems aligned with enterprise requirements and industry best practices • Collaborate with customer leadership to understand strategic objectives and translate them into AI solutions using graph databases and LLMs • Lead requirements discovery, assess enterprise data ecosystems, and identify opportunities to apply graph-based AI at scale • Lead stakeholder engagement to steer project scope, align priorities, mitigate risks, and ensure timely delivery • Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs and orchestration frameworks • Write production-level code and optimize applications for performance, scalability, and customer-system integration • Continuously evaluate and improve deployed AI applications • Work with Product and Marketing teams to influence the roadmap and provide field insights • Package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets • Share expertise through workshops, training sessions, and documentation • Maintain continuous learning and stay current with the evolving GenAI landscape

🎯 Requirements

• 5+ years of experience architecting and delivering enterprise-grade applications • Deep understanding of the full software development lifecycle • Experience working with Large Language Models, including prompt engineering, fine-tuning, and integrating LLMs into applications • Up-to-date knowledge of different LLM providers, their strengths and limitations, and open-source LLMs • Advanced proficiency in at least one major programming language, such as Java, JavaScript, Python, or C# • Proven track record of delivering clean, maintainable, and scalable code within complex systems • Deep hands-on experience with Linux, Docker, Kubernetes, and version control systems such as Git or SVN • Expert-level use of version control systems in enterprise development workflows • Demonstrated 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 cloud-native AI platforms such as 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, Hive, 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 • Ability to influence cross-functional teams and align technical decisions with business goals • Strong analytical and problem-solving abilities • Ability to architect AI solutions and mentor teams through implementation • 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 • Opportunity to shape the future of data and analytics • Customer-facing workshops, training, and professional development through continuous learning

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