Senior AI Solutions Architect

Neo4j

. Lead the design, construction, and deployment of AI solutions combining graph databases and AI .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $200,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and delivering enterprise-grade AI applications, with a strong focus on graph databases and Large Language Models. Proficient in developing scalable solutions and engaging stakeholders to drive business value and impact.

Highest-signal resume keywords

Graph Database ExpertiseLarge Language Model IntegrationCloud-Native ArchitectureAI Application DevelopmentStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaJavaScriptPythonC#LinuxDockerKubernetesSQLNoSQLGraph Data Modeling

Soft Skills

Exceptional CommunicationAnalytical Problem-SolvingStakeholder Engagement

Tools & Technologies

AWSAzureGCPHadoopSparkHiveNeo4jAmazon NeptuneTigerGraphLangChain

Industry Keywords

Generative AIData EngineeringData ScienceDevOpsEnterprise Applications

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformHadoopJavaJavaScriptKubernetesLinuxNeo4jNoSQLPythonSparkSQLSubversion

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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