Senior AI Solutions Architect

New
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Neo4jGraph Database AI
Remote: United StatesFull-TimeSenior
Salary$200,000 — $265,000 USD
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Job Details

Experience
7+ years of experience architecting and delivering enterprise-grade applications; 2+ years of Experience working with Large Language Models
Required Skills
DockerPythonCloud ComputingJavaJavascriptKubernetesC#LLM

Requirements

  • 7+ years of experience architecting and delivering enterprise-grade applications.
  • 2+ years of experience working with Large Language Models (LLMs), including prompt engineering and fine-tuning.
  • Advanced proficiency in at least one major programming language (Java, JavaScript, Python, or C#).
  • Hands-on experience with Linux, Docker, and Kubernetes.
  • Expert-level use of version control systems (e.g., Git, SVN).
  • Demonstrated expertise in deploying and scaling applications across cloud platforms (AWS, Azure, GCP).
  • In-depth knowledge of generative AI frameworks (e.g., LangChain, LlamaIndex, Haystack).
  • Strong background in data engineering, analytics, or data science including SQL, NoSQL, and big data technologies (Spark, Hadoop).
  • Deep expertise in graph data modeling and query languages (Cypher).
  • Exceptional communication skills with the ability to influence cross-functional teams.
  • Willingness and ability to travel up to 50%.

Responsibilities

  • Engage with technical leaders and stakeholders to shape and implement Graph+GenAI solutions as a trusted advisor.
  • Design and advocate for robust, scalable solution architectures aligned with enterprise requirements.
  • Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs.
  • Lead project discovery, assess data ecosystems, and identify opportunities for graph-based AI at scale.
  • Share expertise internally and with customers through workshops, training, and documentation.
  • Continuously evaluate performance and scalability of AI applications while incorporating new technologies.
  • Influence product roadmaps and contribute to thought leadership and methodology assets.
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$200,000 — $265,000 USD
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