Sr. AI Solutions Architect
New
N
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 (LLMs).
- Required Skills
- DockerPythonGitJavaJavascriptKubernetesC#
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#.
- Deep hands-on experience with deployment tooling across Linux, Docker, and Kubernetes environments.
- Expert-level use of version control systems such as Git or SVN.
- Demonstrated expertise in deploying and scaling applications across AWS, Azure, or GCP.
- In-depth knowledge of generative AI frameworks (e.g., LangChain, LlamaIndex, Haystack).
- Strong background in data engineering, analytics, or data science including SQL and NoSQL.
- Deep expertise in graph data modeling and query languages (e.g., Cypher) and graph databases.
- Exceptional communication and stakeholder engagement skills.
- Willingness and ability to travel up to 50%.
Responsibilities
- Engage with technical leaders, stakeholders, and strategic partners to shape and guide the implementation of Graph+GenAI solutions.
- Design and advocate for robust, scalable solution architectures aligned with complex enterprise requirements.
- Lead discovery of requirements, assessment of data ecosystems, and identification of opportunities for graph-based AI at scale.
- Lead stakeholder engagement to steer project scope, align priorities, and mitigate risks.
- Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs and orchestration frameworks.
- Evaluate and improve the performance, scalability, and efficiency of deployed AI applications.
- Provide technical insights to Product and Marketing teams to influence the roadmap.
- Share expertise through workshops, training sessions, and documentation to empower customers.
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