AI Platform Engineer

Overview

The University of Nebraska at Omaha is an Equal Opportunity Employer, committed to preventing and eliminating discrimination based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. The University does not condone or tolerate discrimination and uses job-related criteria to recruit, assess, and select candidates to ensure fairness and equal treatment in its processes.

Job Title:

Job Grade IT24S

Division:
Division Academic Affairs

College/Dept:
College of Information Science and Technology

Department:
Computer Science

Requisition Number:

FTE (full-time equivalency): .75

Work Schedule:

M-F 8-5

Remote/Telecommuting:
No remote/telecommute opportunity

Appointment Term: 12- 12/12 months

Essential personnel per inclement weather policy:
No

Pay Information: 60,000

Pay

Schedule:

Annually

FLSA Designation:
Exempt

AI- CCORE is a newly established UNO collaboration facility leveraging artificial intelligence (AI) to drive innovation, research, and education. Our AI initiatives include the development of state-of-the-art AI platforms that incorporate both open and proprietary enterprise foundational models to empower diverse applications across enterprise, government, and academic domains. AI- CCORE seeks a highly skilled AI Platform Engineer to design, develop, and maintain an AI platform that integrates foundational models, supports the creation of LLM stacks, and enables scalable AI solutions.

You will work at the intersection of research, education, training, and engineering, collaborating with multidisciplinary teams to ensure robust, efficient, and ethical AI deployments.

AI- CCORE is UNO-funded and envisions being a global leader and a one-stop shop for custom AI services and education, producing AI-specialists and leaders for socio-economic progress and well-being. It will foster partnerships between businesses and students and position the state as a leading multidisciplinary AI corridor, driving economic growth while promoting responsible AI development.

Responsibility Area:
Design and Implementation

Duties:
Design and implement an AI platform that integrates open-source and proprietary enterprise foundational models for research, enterprise applications and AI intern preparation, masterclasses and bootcamps.

Percentage Of Time: 30

Essential Function:
Yes

Responsibility Area:
Develop Platforms

Duties:

• Develop, optimize, and maintain LLM stacks tailored to specific use cases, such as natural language processing, computer vision, and recommendation systems.
• Develop AI platforms to support faculty in designing AI bootcamps, masterclasses and preparing AI interns.

Percentage Of Time: 30

Essential Function:
Yes

Responsibility Area:
Create Scalable APIs and support Architect Training

Duties:

• Create scalable APIs and interfaces for seamless integration of AI models into enterprise and academic systems.
• Architect infrastructure to support model training, fine-tuning, and deployment at scale.

Percentage Of Time: 20

Essential Function:
Yes

Responsibility Area:
Collaborate with researchers and stakeholders

Duties:

Collaborate with researchers and stakeholders to identify and implement cutting-edge AI technologies.

Percentage Of Time: 5

Essential Function:
Yes

Responsibility Area:
Compliance and Security

Duties:

Ensure the security, compliance, and ethical use of AI models and data pipelines.

Percentage Of Time: 5

Essential Function:
Yes

Responsibility Area:
Monitoring and Troubleshooting

Duties:

Monitor platform performance and troubleshoot issues to optimize functionality and user experience.

Percentage Of Time: 5

Essential Function:
Yes

Duties:

Mentor junior engineers and provide technical guidance on AI platform best practices.

Percentage Of Time: 5

Essential Function:
Yes

Required Education

Bachelor’s degree in computer science, Artificial Intelligence or a related field.

Required Experience

• Experience in designing, deploying, and maintaining AI infrastructure.
• Expertise in foundational models (GPT, BERT, etc.) and their customization.
• Proficienc…