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Senior AI Solutions Architect

2 weeks, 6 days ago
United States
Full-time
Senior
AI Engineer
Software Development
Apache Spark AWS Azure C# Docker GCP Git Hadoop Hive Java JavaScript Kubernetes Linux LLM Microservices Neo4j Python SQL SVN
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Neo4j

Neo4j

Neo4j is the world's leading graph database management system, empowering organizations to build intelligent applications for fraud detection, real-time recommendations, and network security at scale.

IT Services
251-1K
Founded 2007
$582M raised
View All Jobs 6

Description

  • Engage with technical leaders, stakeholders, and strategic partners to shape Graph+GenAI implementations.
  • Design and advocate for scalable solution architectures aligned with enterprise requirements and best practices.
  • Lead discovery of customer requirements, assess data ecosystems, and identify opportunities for graph-based AI.
  • Steer project scope, align priorities, mitigate risks, and support timely delivery of engagements.
  • Develop, test, and deploy production-ready AI applications that integrate graph databases, LLMs, and orchestration frameworks.
  • Write production-level code and optimize solutions for performance, scalability, and customer system integration.
  • Continuously evaluate and improve deployed AI applications as new techniques and technologies emerge.
  • Collaborate with Product and Marketing to influence roadmap and turn field learnings into thought leadership and published assets.
  • Deliver workshops, training sessions, and documentation to enable internal teams and customers.
  • Stay current on the evolving GenAI landscape and emerging trends and technologies.

Requirements

  • 7+ years of experience architecting and delivering enterprise-grade applications.
  • 2+ years of experience working with Large Language Models, including prompt engineering, fine-tuning, and application integration.
  • Advanced proficiency in at least one major programming language such as Java, JavaScript, Python, or C#.
  • Hands-on experience with Linux, Docker, and Kubernetes deployment tooling.
  • Expert-level use of version control systems such as Git or SVN.
  • Experience deploying and scaling applications across AWS, Azure, or GCP.
  • 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.
  • Background in data engineering, analytics, or data science, including data pipelines across structured and unstructured data.
  • Hands-on experience with big data technologies such as Hadoop, Spark, and Hive, plus SQL and NoSQL databases.
  • Deep expertise in graph data modeling and query languages such as Cypher, with experience in graph databases like Neo4j, Amazon Neptune, or TigerGraph, or triple stores such as Ontotext or Stardog.
  • Strong communication, stakeholder engagement, and cross-functional collaboration skills.
  • Ability to break down complex problems, architect AI solutions, and mentor teams.
  • Willingness and ability to travel up to 50%.

Benefits

  • Annual on-target earnings of $200,000 to $265,000 USD.
  • Stock option grant for US employees.
  • Eligibility for an annual bonus for certain roles.
  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Paid time off.
  • Certain leaves of absence.
  • Inclusive, diverse, and equitable workplace culture.

Interested in this position?

Apply directly on the company website

Apply Now

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