AI Agent Architect for Enterprise Payables

Corpay; Brentwood (TN); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Automatic enrollment into 401k

Virtual fitness classes

Robust PTO offerings

Employee discounts

Philanthropic support

Fun culture

Job summary

Corpay in Brentwood, TN invites an AI Agent Developer to join the Data & Analytics AI CoE. You will design, develop, deploy, and improve AI agents across Payables, leveraging LLMs, APIs, and enterprise data to automate complex processes.

The role requires collaborating with business stakeholders, prototyping rapidly, and ensuring security, governance, and production readiness while building reusable patterns and training material for teams.

Qualifications

• Bachelor's degree required in CS, IS, AI, or related field.
• 3+ years in AI application development or related field.
• Hands-on experience with AI agents and LLM-powered solutions.
• Strong software development and enterprise integration skills.

Responsibilities

• Design, develop, test, deploy and improve enterprise AI agents for Payables.
• Collaborate with business teams to identify AI opportunities and requirements.
• Build AI agent workflows that call APIs, use data, and connect to company systems.
• Develop solutions using LLM platforms such as OpenAI, Azure OpenAI, Copilot Studio, or similar tools.
• Create reusable AI components, templates, frameworks, and patterns for scale.
• Ensure production readiness with security, governance, and testing standards.
• Provide training materials and coach Payables teams.

Skills

Python

REST APIs

LLM platforms

Enterprise integrations

Testing and production support

Communication with stakeholders

Education

Bachelor's degree in Computer Science or related field

Tools

OpenAI API

Azure OpenAI

Copilot Studio

Microsoft Fabric

LangChain

Job description

Corpay in Brentwood, TN invites an AI Agent Developer to join the Data & Analytics AI CoE. You will design, develop, deploy, and improve AI agents across Payables, leveraging LLMs, APIs, and enterprise data to automate complex processes.

The role requires collaborating with business stakeholders, prototyping rapidly, and ensuring security, governance, and production readiness while building reusable patterns and training material for teams.