Senior Platform AI Engineer

Senior AI Platform Engineer
Location: Charlotte, NC (Hybrid and Remote options available) Type: Direct Hire

Position Overview

We are looking for a Senior AI Platform Engineer to help establish and operate the technology foundation for enterprise artificial intelligence and intelligent automation.

This position is responsible for turning emerging AI capabilities into dependable business solutions. You will build AI-powered applications and agents, connect them to enterprise data and systems, establish the infrastructure and controls required for production use, and continuously improve their reliability and effectiveness.

The role combines   software engineering, AI application development, cloud engineering, integration, automation, and production operations . You will work closely with business leaders, technology professionals, and external technology partners to identify opportunities, develop solutions, and move successful concepts into sustainable production environments.

This is a hands-on engineering position with significant technical ownership. It is not primarily focused on business intelligence, reporting, data analysis, or requirements documentation.

Location & Work Model

The preferred location for this position is   Charlotte, North Carolina , with a hybrid schedule based from the organization's headquarters.

Remote candidates located within the   Eastern or Central time zones  may also be considered. Remote employees should be able to maintain effective collaboration with distributed teams and travel to the Charlotte headquarters when business needs require.

Core Areas of Responsibility

AI Application Development

• Architect and develop intelligent agents and AI-powered applications that solve practical enterprise problems.

• Take AI solutions through the complete development lifecycle, from experimentation and prototyping through testing, deployment, monitoring, and ongoing enhancement.

• Design how agents retrieve information, assemble context, select and invoke tools, coordinate multi-step tasks, and transition work to people when human intervention is necessary.

• Develop the data and business-context foundations that allow AI systems to produce relevant, accurate, and appropriately grounded responses