AI Platform Engineer

AI Platform Engineer Bookmark this Posting Print Preview | Apply for this Job Please see Special Instructions for more details. The University of Nebraska at Omaha is an Equal Opportunity Employer, committed to preventing and eliminating discrimination against employees and prospective employees 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 of Nebraska at Omaha does not condone or tolerate discrimination. In support of this policy, the University has implemented employment programs to recruit, employ, and promote qualified individuals based solely on their knowledge, skills, abilities and talents. These factors, along with our commitment to recruit, assess and select all candidates/employees using job-related criteria, ensure fairness, equal evaluation, and treatment in our selection decisions and processes. Requisiton Details To create a Posting, first complete the information on this screen, then click the Next button or select the page in the left hand navigation menu. Proceed through all sections completing all necessary information. To submit the Posting, you must go to the Posting Summary Page by clicking on the Next button until you reach the Posting Summary Page or select Posting Summary Page from the left navigation menu. Once a summary page appears, hover your mouse over the orange Action button for a list of possible approval step options. GENERAL REQUISITION INFORMATION EEO Statement: The University of Nebraska does not discriminate 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 in its education programs or activities, including admissions and employment. The University prohibits any form of retaliation taken against anyone for reporting discrimination, harassment, or retaliation for otherwise engaging in protected activity. Read the full statement. Job Title AI Platform Engineer Job Grade IT24S Division Academic Affairs College/Dept College of Information Science and Technology Department Computer Science Requisition Number 2026-00152 FTE (full-time equivalency) 100.00 Work Schedule M-F 8-5 Does the position provide the opportunity to work Remotely/Telecommuting? No remote/telecommute opportunity Appointment Term 12- 12/12 months Is this position essential personnel according to the inclement weather policy? No Pay Information 60,000 Pay Schedule Annually FLSA Designation Exempt Position Summary 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 is seeking 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 (AI Collaborative for outreach research and education) is UNO funded facility which envisions being a global leader and a 1-stop shop for custom AI services and education, producing AI-specialists and leaders for socio-economic progress and well-being of the state of Nebraska and beyond. AI-CCORE will serve as a catalyst for AI-driven innovation, fostering partnerships between businesses and students and position the state as a leading multidisciplinary, translational AI corridor in the nation, driving economic growth while promoting responsible AI development. Job Duties 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: Creat 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: Collaboration 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 Troubleschooting Duties: Monitor platform performance and troubleshoot issues to optimize functionality and user experience. Percentage Of Time 5 Essential Function: Yes Responsibility Area: Mentoring Duties: Mentor junior engineers and provide technical guidance on AI platform best practices. Percentage Of Time 5 Essential Function: Yes Required and Preferred Qualifications 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. Proficiency in programming languages such as Python, Java, or C++. Strong knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Experience with MLOps tools and frameworks (TensorFlow Serving, MLflow, etc.). Understanding of distributed systems and high-performance computing. Familiarity with prompt engineering, fine-tuning, and multi-modal AI. Strong knowledge of cloud platforms (especially AWS and/or Azure) and their security features. Ability to work in a multidisciplinary and collaborative environment. Required License/Certification N/A Required Additional Qualifications: N/A Preferred Education Master’s degree in computer science, Artificial Intelligence or a related field. Preferred Experience 2+ years of experience in AI/ML engineering, with a focus on LLMs and AI platform development. Experience with enterprise-scale AI applications and model lifecycle management. Knowledge of ethical AI principles and regulatory compliance in AI deployments. Contributions to open-source AI projects or publications in relevant fields. Preferred License/Certification NA Preferred Additional Qualifications: NA Compliance Requirements Credit Check No Motor Vehicle Licensing Validity Check No Pre-employment Physical Request and Assessment No Drug Screen No Supplemental Question Required fields are indicated with an asterisk (*). * Do you have a bachelor's degree in computer science, Artificial Intelligence or a related field? Yes No * Do you have experience in designing, deploying, and maintaining AI infrastructure? Yes No Applicant Documents Required Documents Resume Cover Letter Optional Documents

Created: 2026-04-02