AI Architect

Gulfstream•Savannah, GA

5h•Onsite

About The Position

The AI Architect will own enterprise AI architecture, reference patterns, and platform design. This role governs scalable, secure, and compliant AI platforms and advises leadership on architecture decisions supporting long‑term sustainability. Designs and governs enterprise AI platforms, MLOps/LLMOps, integrations, and compliance patterns. Ensures scalability and sustainability.

Requirements

Bachelor's Degree in Mathematics, Computer Science, or Engineering required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job.
10 years experience in software development to include AI, leadership in architecture, standards, and delivery of complex AI systems or Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience.
Deep understanding of AI technologies and Machine Learning principles.
Knowledge of Cloud compute platforms (AWS, Azure, etc) and their AI services.
Data science concepts, including statistical modeling and data visualization.
Understanding of alignment between business processess / objectives and technical solutions.
Ability to identify, assess, and mitigate risks associated with AI implementations, especially with regards to Large Language Model tuning.
Exceptional communication skills.
Extensive experience designing enterprise architectures for AI platforms and integrations.
Strong understanding of security, compliance, and governance patterns for AI systems.
Experience with MLOps/LLMOps, monitoring, drift management, and platform sustainability.
Ability to advise leadership and drive cross‑organization technical alignment.
A credit history check from a national credit bureau will be conducted for all candidates for this position including new hires and current employees seeking promotion or transfer.
This job requires one to be able to read, write, speak, and understand the English language.

Nice To Haves

Other Cloud architecture, AI Platform or MLOps cerifications preferred.

Responsibilities

Design and govern enterprise AI architectures, platforms, and reference patterns.
Define standards for AI/ML lifecycle, MLOps/LLMOps, integrations, and observability.
Ensure security, compliance, scalability, and sustainability of AI platforms.
Lead architectural reviews and guide cross‑team technical alignment.
Mentor specialists and senior engineers and advise leadership on tradeoffs.
Perform other duties as assigned.