AI Architect - Internal Business Applications
About this role
MeridianLink seeks an AI Architect for Internal Business Applications to lead the technical direction for artificial intelligence and intelligent automation within internal corporate operations. Based remotely in the US, this position suits an experienced software architecture professional looking to drive enterprise-wide business transformation through secure AI workflows.
Role Overview
The AI Architect, Internal Business Applications, defines and maintains the reference architecture for AI capabilities across MeridianLink. The position oversees the end-to-end design of modern artificial intelligence solutions that optimize internal functions like Finance, Human Resources, Operations, and Customer Success. Responsibilities cover architectural vision, security compliance, data integration, and engineering leadership.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
MeridianLink operates in the technology sector, supporting financial services, enterprise SaaS, and related business domains through digital solutions and internal business applications.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the AI Architect role?
The salary range is $150K to $200K.
Where is the position located?
The position is US Remote.
How many years of overall experience are required?
Candidates must have 8 or more years of experience in software architecture, platform engineering, AI/ML systems design, data architecture, or related technical disciplines.
What production AI experience is necessary?
Candidates need at least 4 years of experience designing and deploying production-scale AI systems, including large language models, agent orchestration frameworks, and intelligent automation solutions.
What technical skills are explicitly required?
Required technical skills include Python, SQL, cloud platforms (AWS, Azure, or GCP), containerization tools like Docker and Kubernetes, and modern data platforms such as Databricks and Snowflake.