AI Infrastructure Engineer — Scalable ML Platforms (Tampa)

Addison Group; Tampa (FL); Presencial; USD 120.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401(k)

Paid time off

Descripción de la vacante

Addison Group is seeking an AI Engineer in Tampa, FL to design and maintain infrastructure for AI/ML applications, integrate APIs and data platforms, and support cloud and on‑prem environments. This hands‑on role involves building scalable solutions that enable AI to move from concepts to production across the organization.

The role requires collaboration with software, data, and business teams to productionize AI solutions, while establishing secure foundations and reliable operations for

Formación

• Experience in software engineering, systems engineering, cloud infrastructure, AI/ML engineering, or related field.
• Strong understanding of cloud and enterprise technology environments.
• Experience working with APIs, data platforms, integrations, or automation.

Responsabilidades

• Design, deploy, and maintain infrastructure supporting AI/ML applications
• Integrate enterprise systems such as ERP, CRM, and HRIS with data platforms
• Support cloud and on-prem environments, data pipelines, and MLOps practices
• Partner with software, data, and business teams to bring AI solutions into production
• Help establish secure, scalable, and reliable technology foundations for continued AI adoption

Conocimientos

AI/ML engineering

Cloud infrastructure

API integrations

Herramientas

APIs

Data platforms

Automation

Descripción del empleo

Addison Group is seeking an AI Engineer in Tampa, FL to design and maintain infrastructure for AI/ML applications, integrate APIs and data platforms, and support cloud and on‑prem environments. This hands‑on role involves building scalable solutions that enable AI to move from concepts to production across the organization.

The role requires collaboration with software, data, and business teams to productionize AI solutions, while establishing secure foundations and reliable operations for