AI Platform Engineer

Confidential; Charlotte (NC); Remote; USD 140,000 - 190,000; Full time

Job summary

Confidential is seeking a Senior AI Platform Engineer to establish and operate the technology foundation for enterprise AI and intelligent automation. This hands-on role focuses on turning emerging AI capabilities into reliable business solutions, building AI-powered applications connected to enterprise data and systems, and ensuring production-grade reliability.

You will own the end-to-end lifecycle from experimentation to deployment, collaborate with business leaders and partners, and travel

Responsibilities

• 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

Job description

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.


• 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

• 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