AI Engineer: Build & Deploy Impactful AI Solutions

CBIZ; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

CBIZ seeks an AI Engineer to build, configure, test, and support AI solutions in collaboration with architects, delivery leaders, and project teams. You will implement AI workflows, integrations, and model-enabled solutions while ensuring reliability and maintainability.

Responsibilities include drafting technical instructions, documenting daily activities, and coordinating with team members to drive successful deployment.

Qualifications

• Bachelor’s degree or equivalent in a related field.
• Experience building AI, ML, automation, or data-driven applications.
• Knowledge of scripting, APIs, data integration, testing practices, and documentation standards.
• Familiarity with cloud platforms, DevOps practices, and modern development tools.
• Exposure to generative AI, model integration, workflow automation, or low-code platforms.

Responsibilities

• Build, configure, and test AI solution components per designs and business requirements.
• Prepare technical instructions and implementation guidelines for systems and processes.
• Document daily activities, updates, and system functions to support delivery transparency.
• Coordinate with team members and lead technical tasks to support development and deployment.
• Troubleshoot, optimize, and enhance AI-enabled applications and integrations.
• Collaborate with the team and communicate progress and recommendations to stakeholders.
• Utilize applicable technology to support development, testing, and implementation work.

Skills

AI/ML fundamentals

Cloud platforms

APIs

DevOps practices

Documentation standards

Team leadership

Education

Bachelor’s degree in computer science, engineering, information systems

Tools

Python

Docker

Git

SQL

Job description

CBIZ seeks an AI Engineer to build, configure, test, and support AI solutions in collaboration with architects, delivery leaders, and project teams. You will implement AI workflows, integrations, and model-enabled solutions while ensuring reliability and maintainability.

Responsibilities include drafting technical instructions, documenting daily activities, and coordinating with team members to drive successful deployment.