AI Specialist

Gulfstream•Savannah, GA

6d•Onsite

About The Position

The AI Specialist will support the implementation of AI solutions through data preparation, model execution, evaluation, and basic integrations under guidance. This role builds foundational skills in AI tools, engineering practices, and responsible AI standards. It is an entry-level AI engineer role focused on implementation and learning, working on model execution, data prep, evaluation, and basic integrations under guidance.

Requirements

Bachelor’s degree in Mathematics, Computer Science, Engineering, or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job.
1 year experience in software development, data, or analytics, including exposure to AI/ML concepts and tooling.
Proficiency with Python and basic software engineering practices.
Exposure to ML concepts, model evaluation, and data preparation.
Strong problem-solving and communication skills.
Ability to read, write, speak, and understand the English language.

Nice To Haves

Master's Degree in Mathematics, Computer Science, Engineering or related field.
Familiarity with version control and basic CI/CD practices.
Cloud or AI fundamentals certifications (e.g. Azure AI fundamentals).

Responsibilities

Implement defined AI tasks under supervision.
Prepare, validate, and document datasets used for AI solutions.
Execute model evaluation and basic testing using established tooling.
Follow established AI development, security, and governance standards.
Maintain documentation and participate in code reviews.
Support deployment, testing, and adoption of AI code assistant tools to improve developer productivity and software delivery.
Build and maintain low-code AI agents using connections to approved data sources, APIs, and automation workflows.
Create and maintain reusable AI assets such as prompts, agent instructions, knowledge sources, and automation templates for business teams and developers.
Support AI enablement activities including user training, documentation, workshops, demonstrations, and champion programs to accelerate adoption across the enterprise.
Perform other duties as assigned.