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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 technologies and recommend appropriate technologies, platforms, and architectural approaches.
TECHNICAL LEADERSHIP AND COLLABORATION:
Serve as a senior technical resource and subject matter expert for AI engineering initiatives.
Provide technical leadership during project planning, architecture design, implementation, code review, and deployment.
Mentor AI engineers, analysts, students, and other technical staff in modern AI engineering practices.
Establish and promote engineering standards, reusable technical patterns, and documentation practices.
Collaborate with faculty, researchers, clinicians, analysts, and institutional partners to define requirements and develop effective technical solutions.
Coordinate technical activities across multiple projects and identify technical dependencies, risks, and resource requirements.
RESEARCH, INNOVATION, AND STRATEGIC GROWTH:
Identify opportunities to apply artificial intelligence and automation to advance research, clinical innovation, education, and institutional operations.
Collaborate with investigators on the technical design and implementation of AI-enabled research projects.
Provide technical expertise for grant proposals, including architecture, technical feasibility, infrastructure requirements, and implementation planning.
Develop prototypes and proof-of-concept systems to evaluate emerging AI approaches.
Contribute to departmental planning for AI infrastructure, platforms, engineering capabilities, and technical strategy.
Support technical publications, presentations, demonstrations, and knowledge-sharing activities.
PROFESSIONAL DEVELOPMENT:
Maintain expertise in artificial intelligence, machine learning engineering, software engineering, data technologies, cybersecurity, and computing infrastructure.
Remain current with emerging developments in generative AI, foundation models, AI engineering frameworks, and responsible AI practices.
Participate in relevant training, professional development, and technical communities.
OTHER: Perform other duties and special projects as assigned.
Required Qualifications
Master's degree from an accredited college or university and five years of professional experience in software engineering, machine learning, artificial intelligence, data engineering, cloud computing, or related field.
OR
Bachelor's degree from an accredited college or university and seven years of professional experience in software engineering, machine learning, artificial intelligence, data engineering, cloud computing, or related field.
Preferred Qualifications
PhD from an accredited college or university in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field. OR Master's degree from an accredited college or university in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Software Engineering, Computer Engineering, or a closely related field.
Experience developing, deploying, or operating large language models and generative AI applications. Experience with retrieval-augmented generation, semantic search, vector databases, or agentic AI systems. Experience deploying machine learning or AI workloads on GPU-based computing infrastructure. Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Experience developing APIs, microservices, distributed applications, or data-intensive systems. Experience implementing MLOps, DevOps, automated testing, and CI/CD practices. Experience with high-performance computing, on-premises AI infrastructure, or hybrid computing environments. Experience in healthcare, biomedical research, clinical research, academic research, or another regulated data environment. Familiarity with healthcare privacy, security, research compliance, and data governance requirements. Experience supporting interdisciplinary or grant-funded research initiatives. Experience mentoring engineers or providing technical leadership across complex projects.
Knowledge, Skills, & Abilities
KNOWLEDGE
Advanced knowledge of software engineering principles, system architecture, and AI application development.
Strong proficiency in Python and relevant AI and machine learning frameworks and libraries.
Strong understanding of machine learning and generative AI application architectures.
Knowledge of large language models, retrieval-augmented generation, embedding technologies, vector databases, and AI application orchestration.
Knowledge of APIs, distributed systems, containerization, and modern application architecture.
Strong understanding of DevOps, MLOps, automated testing, deployment, monitoring, and software lifecycle practices.
SKILLS
Strong analytical, troubleshooting, and problem-solving skills.
Strong written and verbal communication skills, including the ability to communicate technical concepts to technical and nontechnical audiences.
ABILITIES
Ability to design scalable, maintainable, secure, and reliable technical solutions.
Ability to evaluate technical alternatives and make architecture and implementation recommendations.
Demonstrated ability to lead technical initiatives, work effectively across multidisciplinary teams, and mentor less experienced technical staff.
Ability to manage technical responsibilities across multiple projects and priorities.
Shift/Salary/Benefits
Shift: Days; M-F (Work outside of the standard business hours may be required)
Pay Band: B17
Salary: $109,500/annually-$139,600/annually
Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position
Recruitment Period: 10/7/26 - Until Filled
Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees.
Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays.
Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today!
How To Apply
Consider applying with us today!
Applicants are encouraged to tailor their resumes to the position of interest by clearly highlighting relevant work experience and skills gained from previous employment. Resumes should reflect how your background aligns with the qualifications and responsibilities of the role.
https://www.augusta.edu/hr/jobs/
Select University Faculty & Staff > External Applicants if you are a candidate from outside the universi
