Remote Principal AI Solutions Architect: Graph & GenAI

Ladders; United States; Remote; USD 220,000 - 310,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) plan

Stock option grant eligibility

Paid time off

Job summary

Ladders is seeking a Principal AI Solutions Architect to guide enterprise customers in designing and implementing advanced AI solutions that blend graph data with generative AI. You will partner with technical leaders, stakeholders, and internal teams to shape scalable architectures and measurable outcomes.

Remote role with a compensation range of $220,000 to $310,000 annually, reflecting senior leadership and production-ready delivery across cloud platforms and edge cases.

Qualifications

• 10+ years in enterprise architecture and delivery.
• 5+ years experience with Large Language Models (LLMs) and prompt engineering.
• Deep knowledge of graph data modeling and Cypher.

Responsibilities

• Engage with technical leaders to guide graph and generative AI solutions.
• Design scalable architectures aligned with enterprise requirements.
• Translate strategic objectives into impactful AI solutions for customers.
• Lead stakeholder engagement to align project scope and delivery.
• Develop, test, and deploy production-ready AI apps with graph DBs and LLMs.
• Improve performance and efficiency of deployed AI applications.
• Influence product roadmaps and share best practices via workshops and docs.

Skills

Enterprise architecture

Prompt engineering

Java

Python

Docker/Kubernetes

AWS/Azure/GCP

Graph data modeling

Cypher

Tools

Docker

Kubernetes

Cypher

SQL

Job description

Ladders is seeking a Principal AI Solutions Architect to guide enterprise customers in designing and implementing advanced AI solutions that blend graph data with generative AI. You will partner with technical leaders, stakeholders, and internal teams to shape scalable architectures and measurable outcomes.

Remote role with a compensation range of $220,000 to $310,000 annually, reflecting senior leadership and production-ready delivery across cloud platforms and edge cases.