Senior Artificial Intelligence Engineer

About Us

Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values https://www.augusta.edu/about/mission.php make Augusta University an institution like no other.

Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state.

The University System of Georgia https://www.usg.edu/hr/orientation/welcome_to_the_board_of_regents_university_system_office is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at https://www.usg.edu/policymanual/section6/C2653.

Location

Augusta University -

Our Health Sciences Campus: 1120 15th Street, Augusta, GA 30912

Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904

Job Summary

The Department of AI and Health at Augusta University seeks an experienced Senior AI Engineer to lead the design, development, deployment, and operationalization of artificial intelligence systems supporting healthcare research, clinical innovation, education, and enterprise initiatives.

The Senior AI Engineer serves as a senior technical contributor and provides technical leadership across AI engineering projects. This position combines expertise in software engineering, machine learning, generative AI, data engineering, and AI infrastructure with the ability to translate research, clinical, and operational requirements into secure, scalable, reliable, and maintainable AI solutions.

Working collaboratively with AI engineers, data scientists, faculty, researchers, clinicians, analysts, and institutional technology teams, the Senior AI Engineer will lead solution architecture, establish engineering standards, support production AI platforms, mentor technical staff, and guide projects from prototype through production deployment.

This is not a telework position; on-site presence is required.

Responsibilities

.AI SYSTEMS ARCHITECTURE & ENGINEERING

Lead the design, development, implementation, and deployment of AI, machine learning, and generative AI solutions supporting research, clinical, educational, and operational initiatives.

Design production-ready AI architectures, including model serving, APIs, retrieval systems, data pipelines, vector databases, and workflow orchestration.

Translate research, clinical, and operational requirements into scalable and maintainable technical solutions.

Design systems with appropriate consideration for performance, availability, security, privacy, interoperability, and institutional requirements.

Develop reusable architectures, services, and engineering patterns that support AI development across departmental projects.

MLOps AND AI PLATFORM DEVELOPMENT

Design, develop, and maintain pipelines supporting model development, validation, deployment, evaluation, monitoring, and lifecycle management.

Implement automated testing, continuous integration and deployment, version control, and infrastructure provisioning practices.

Support machine learning and generative AI workloads across on-premises, high-performance computing, cloud, and hybrid computing environments.

Implement practices supporting reproducibility, observability, model and data versioning, governance, and auditability.

Monitor and optimize AI systems for performance, scalability, reliability, and efficient use of computing resources.

SOFTWARE ENGINEERING AND AI INTEGRATION

Lead development of software components, APIs, services, applications, and data workflows supporting AI solutions.

Establish and promote standards for code quality, testing, source control, documentation, code review, and deployment.

Integrate AI capabilities with research systems, data platforms, clinical systems, and institutional technologies as appropriate.

Collaborate with institutional technology, cybersecurity, data governance, and infrastructure teams to support secure and reliable AI deployments.

Diagnose and resolve complex technical issues involving software, models, data pipelines, infrastructure, and deployment environments.

GENERATIVE AI AND ENGINEERING TECHNOLOGIES

Design and implement applications using large language models and other foundation models.

Develop retrieval-augmented generation, semantic search, knowledge retrieval, tool-enabled AI, and agentic AI workflows where appropriate.

Implement methods for evaluating AI systems for accuracy, reliability, performance, safety, and appropriate use.

Support deployment and optimization of open-source and commercial AI models across institutional computing environments.

Evaluate emerging AI