Demo

AI Platform Engineer

University of Nebraska Omaha
Omaha, NE Full Time
POSTED ON 2/18/2025
AVAILABLE BEFORE 5/4/2025

Requisiton Details

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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

2024-00371

FTE (full-time equivalency)

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?

Pay Information

80,000 - 90,000

Pay Schedule

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

Essential Function :

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

Essential Function :

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

    Essential Function :

    Responsibility Area :

    Collaboration

    Duties :

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

    Percentage Of Time

    Essential Function :

    Responsibility Area :

    Compliance and Security

    Duties :

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

    Percentage Of Time

    Essential Function :

    Responsibility Area :

    Monitoring and Troubleschooting

    Duties :

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

    Percentage Of Time

    Essential Function :

    Responsibility Area :

    Mentoring

    Duties :

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

    Percentage Of Time

    Essential Function :

    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

    Preferred Additional Qualifications :

    Compliance Requirements

    Credit Check

    Motor Vehicle Licensing Validity Check

    Pre-employment Physical Request and Assessment

    Drug Screen

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