Senior AI Engineer — Healthcare AI Systems Leader

Augusta University

Augusta (GA)

On-site

USD 110,000 - 140,000

Full time

13 days ago

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Benefits offered by this job

Health insurance
Dental insurance
Life insurance
Teacher's Retirement System
Vacation time
Sick leave
Holidays (13)
Tuition assistance

Job summary

Augusta University in Augusta, GA, seeks a Senior AI Engineer to lead the design, development, deployment, and operation of AI systems across healthcare research, clinical innovation, education, and enterprise initiatives.

The role combines software engineering, ML, data engineering, and AI infrastructure; you will mentor staff, set engineering standards, ensure secure, scalable solutions, and collaborate with researchers, clinicians, and IT teams. On-site requirement.

Qualifications

  • Master's degree or PhD in a related field with 5+ years of professional AI/software experience.
  • Experience in healthcare, clinical research, or regulated data environments is preferred.
  • Strong Python and AI framework knowledge required.
  • Experience mentoring engineers and leading complex AI projects.

Responsibilities

  • Lead design and deployment of AI/ML/generative AI solutions for research and clinical initiatives.
  • Design production-ready architectures including model serving, data pipelines, and orchestration.
  • Develop MLOps pipelines and support on-premises, HPC, cloud, and hybrid environments.
  • Guide API services, data workflows, and integration with institutional systems.
  • Provide technical leadership, code standards, and mentoring.
  • Identify opportunities for AI-enabled innovation and strategic growth.

Skills

Python
AI engineering
ML engineering
Generative AI
APIs & microservices
DevOps / MLOps

Education

Master's degree
Bachelor's degree
PhD

Tools

Docker
Kubernetes
Vector databases
Cloud platforms (Azure/AWS/GCP)

Job description

Augusta University in Augusta, GA, seeks a Senior AI Engineer to lead the design, development, deployment, and operation of AI systems across healthcare research, clinical innovation, education, and enterprise initiatives.

The role combines software engineering, ML, data engineering, and AI infrastructure; you will mentor staff, set engineering standards, ensure secure, scalable solutions, and collaborate with researchers, clinicians, and IT teams. On-site requirement.

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