Senior AI Solutions Architect (LLMs, Graph Databases)

TL;DR

Senior AI Solutions Architect (LLMs, Graph Databases): Lead the design, construction, and deployment of Graph+GenAI solutions that integrate graph databases with LLMs for production-ready AI applications. Focus on scalable enterprise architecture, end-to-end AI solution engineering, and translating complex customer data challenges into measurable business outcomes.

Location: Remote (United States)

Salary: $200,000 - $265,000 USD (annual on-target earnings)

Company

hirify.global provides a graph intelligence platform that turns data into knowledge to power intelligent applications and AI systems.

What you will do

• Shape and guide Graph+GenAI implementations by advising technical leaders and stakeholders across complex, high-impact customer engagements.
• Design robust, scalable solution architectures aligned with enterprise requirements and best practices.
• Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs and orchestration frameworks.
• Optimize deployed AI applications for performance, scalability, and efficiency, incorporating new techniques as they emerge.
• Translate customer strategic objectives into AI solutions by assessing enterprise data ecosystems and identifying opportunities for graph-based AI at scale.
• Travel up to 50% to engage with customers, lead strategic discussions, and support successful project execution.

Requirements

• 7+ years architecting and delivering enterprise-grade applications across the full software development lifecycle.
• 2+ years working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications.
• Advanced programming proficiency in at least one major language (Java, JavaScript, Python, or C#) with a track record of clean, maintainable, scalable code.
• Hands-on deployment experience with Linux, Docker, and Kubernetes, plus expert use of version control (Git, SVN).
• Cloud expertise deploying and scaling applications on AWS, Azure, and/or GCP with cloud-native and DevOps best practices.
• Deep knowledge of graph data modeling and query languages (e.g., Cypher) with practical experience using graph databases (e.g., hirify.global) and/or triple stores.

Nice to have

• Experience with generative AI frameworks and ecosystems (e.g., LangChain, LlamaIndex, Haystack; AWS Bedrock, Google Vertex AI, Azure ML).
• Background in data engineering, analytics, or data science, including data pipelines across structured and unstructured data and big data technologies (e.g., Hadoop, Spark, Hive).

Culture & Benefits

• Medical, dental, and vision benefits, plus 401(k) and paid time off.
• Stock option grant and potential annual bonus for eligible roles.
• Standard benefit programs and certain leaves of absence.
• Remote work based in the United States, with customer travel up to 50%.

Hiring process

• Interviews focused on architecture and AI/LLM + graph solution experience.
• Evaluation of ability to translate customer needs into production-ready AI applications.
• Discussions around stakeholder engagement and delivery approach.