Principal AI Solutions Architect

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

For our client, we are seeking a Principal AI Solutions Architect to join the team of a leader in the Enterprise Technology space. This role will guide enterprise customers in designing and implementing advanced AI solutions that combine graph data capabilities with generative AI. You will partner closely with technical leaders, customer stakeholders, and internal teams to shape scalable architectures, support successful delivery, and influence product direction through real-world implementation insights. The position requires both deep technical breadth and the ability to translate strategic business objectives into production-ready solutions with measurable impact.
Location: Remote
Compensation: $220,000 - $310,000 annually

Responsibilities

• Engage with technical leaders and stakeholders to guide the implementation of graph and generative AI solutions
• Design and advocate for scalable solution architectures aligned with enterprise requirements
• Collaborate with customer leadership to translate strategic objectives into impactful AI solutions
• Lead stakeholder engagement to align project scope and ensure timely delivery
• Develop, test, and deploy production-ready AI applications integrating graph databases and LLMs
• Continuously evaluate and improve the performance and efficiency of deployed AI applications
• Work with internal teams to influence product roadmaps and share best practices through workshops and documentation

Qualifications

• 10+ years of experience in enterprise application architecture and delivery
• 5+ years of experience with Large Language Models (LLMs), including prompt engineering and integration
• Advanced proficiency in a major programming language: Java, JavaScript, Python, or C#
• Deep hands-on experience with deployment tooling in Linux, Docker, and Kubernetes environments
• Expertise in cloud computing across platforms like AWS, Azure, and GCP
• In-depth knowledge of the generative AI ecosystem and cloud-native AI platforms
• Strong background in data engineering and analytics, with experience in big data technologies and database systems
• Deep expertise in graph data modeling and query languages, particularly Cypher

Benefits

• Medical, dental, and vision benefits
• 401(k) plan
• Paid time off and certain leaves of absence
• Stock option grant eligibility
• Potential for annual bonus

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification- your background could be exactly what this team needs.