Senior AI Engineer - Platform

University of Louisville

16h • $123,870 - $185,857 • Onsite

About The Position

The position of Senior AI Engineer - Platform will design, build, and operate modular, secure, institution-deployable AI platforms that let researchers and clinicians apply ML and LLM capabilities without deep programming expertise. The role addresses the recurring barriers behind research projects, technical complexity, data and workflow friction, and security/compliance, by delivering locally hosted, HIPAA- and NIST-800-53-compliant, open-source tools that keep sensitive data on institutional infrastructure, control cost, and avoid vendor lock-in. The platforms share a common infrastructure and can be bundled as a cohesive, institution-deployable toolkit.

Requirements

• Master’s degree or higher in Computer Engineering, Computer Science, or Data Science
• Two (2) years of relevant experience
• Modular AI platform architecture
• Secure local LLM hosting & inference
• HIPAA / NIST 800-53 compliance engineering
• MLOps & containerized deployment
• No-code web UIs & OpenAI-compatible APIs
• Open-source release & production support
• Cybersecurity & secure handling of sensitive data

Nice To Haves

• At least 2 years of direct, hands-on experience building and operating AI/ML platforms and infrastructure / MLOps (i.e., 2+ years working in this specific role).
• Strong software/platform engineering: web applications, APIs, and containerized deployment.
• Experience building and operating ML/LLM systems in production, with working knowledge of information security and compliance practices.
• Proven ability to work in secure environments that handle sensitive, confidential data, with a strong focus on cybersecurity. Must follow institutional security, privacy, and compliance controls (e.g., HIPAA, NIST 800-53) and apply secure engineering practices to protect sensitive data.
• HIPAA and NIST 800-53 in clinical/research data settings.
• Locally hosted LLM inference and OpenAI-compatible API design.
• Open-source development and no-code platform UX.
• Experience deploying tools in an academic medical center or research environment.

Responsibilities

• Architect and develop modular AI platform components on shared, reusable infrastructure, e.g., no-code ML classification, secure local LLM hosting, automated protocol/communications agents, time-series forecasting, transcription/summarization, and foundational vision models.
• Implement a security & compliance layer: HIPAA and NIST 800-53 controls, encryption at rest and in transit, access control, and managed infrastructure.
• Stand up locally hosted, OpenAI-compatible LLM inference so sensitive data never leaves institutional infrastructure and compute cost stays bounded.
• Build no-code web user interfaces and APIs that put advanced AI in the hands of non-programmers.
• Package and maintain open-source releases for local, customizable deployment; support production deployments across colleges and units.
• Document, support, and onboard users; collaborate with researchers across healthcare, education, and other domains.
• Work within secure environments that handle sensitive data: apply cybersecurity best practices and institutional security and compliance controls (e.g., HIPAA, NIST 800-53) across every system built and operated.

Benefits

• The University strives to provide equal employment opportunity on the basis of merit and without unlawful discrimination on the basis of race, sex, age, color, national origin, ethnicity, creed, religion, disability, genetic information, sexual orientation, gender, gender identity or expression, veteran status, marital status, or pregnancy.
• In accordance with the Rehabilitation Act of 1973 and the Vietnam Era Veteran Readjustment Act of 1974, the University prohibits job discrimination of individuals with disabilities, Vietnam era veterans, qualified special disabled veterans, recently separated veterans, and other protected veterans.
• The University acknowledges its obligations to ensure affirmative steps are taken to ensure equal employment opportunities for all employees and applicants for employment.
• It is the policy of the University that no employee or applicant for employment be subject to unlawful discrimination in terms of recruitment, hiring, promotion, contract, contract renewal, tenure, compensation, benefits, and/or working conditions.
• No employee or applicant for employment is required to endorse or condemn a specific ideology, political viewpoint, or social viewpoint to be eligible for hiring, contract renewal, tenure, or promotion.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior