Senior AI Engineer - Platform

ULSA University of Louisville; United States; On-site; USD 124,000 - 186,000; Full time

Job summary

The University of Louisville is seeking a Senior AI Engineer - Platform to design, build, and operate modular, secure AI platforms for researchers and clinicians. You will deliver locally hosted, HIPAA- and NIST-800-53-compliant tools that reduce technical barriers and keep sensitive data on institutional infrastructure.

You will create no-code web UIs and APIs, ensure security, package open-source releases, and support deployments across colleges.

Qualifications

• Master’s degree or higher in Computer Engineering, Computer Science, or Data Science with 2+ years of relevant experience.
• Experience building AI/ML platforms and infrastructure (MLOps).
• Strong software, web, APIs, and containerized deployment skills.
• Experience deploying AI/LLM systems in production with security considerations.
• Familiarity with HIPAA and NIST 800-53 compliance.

Responsibilities

• Architect and develop modular AI platform components on shared, reusable infrastructure.
• Implement a security & compliance layer (HIPAA, NIST 800-53).
• Stand up locally hosted OpenAI-compatible LLM inference.
• Build no-code web UIs and APIs for non-programmers.
• Package and maintain open-source releases for local deployment.
• Document, support, and onboard users across healthcare, education, and other domains.
• Operate within secure environments handling sensitive data with cybersecurity best practices.

Skills

No-code platform UX

Web applications

APIs

Containerized deployment

MLOps

Secure engineering practices

Cybersecurity

Education

Master’s degree in Computer Engineering/Computer Science/Data Science

2+ years relevant experience

Tools

OpenAI-compatible API design

Local LLM hosting

Open-source tooling

Job description

Department: Location: Non-Campus Other Time Type: Full time Worker Type: Regular Job Req ID: R109105 Minimum Requirements: Master’s degree or higher in Computer Engineering, Computer Science, or Data Science and two (2) years of relevant experience.

Position Description

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.

Essential Duties and 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.

Preferred Qualifications

• 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.

Competencies

• 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

Target Compensation

Target Compensation Maximum: $185,857.00

Target Compensation Minimum: $123,870.00

Compensation will be commensurate to candidate experience.

Equal Employment Opportunity

The University of Louisville is an Equal Employment Opportunity employer. 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. Consistent with applicable law, demographic information is collected for aggregate reporting requirements. Demographic information provided through this application is not available to hiring managers/committees and is not considered in hiring or employment decisions.

Assistance and Accommodations

Computers are available for application submission at the Human Resources Department located at 2315 South First Street Walk, Room 02C - Louisville, Kentucky 40292. If you require assistance or accommodation with our online application process, please contact us by email at [e-mail] or by phone [phone].

The University of Louisville is committed to being a great place to work, learn and invest. It is a place where you will thrive in a community of inclusivity, cultivate your innovative power and work where you’ll discover your purpose. Join the Cardinal Family today. Learn more about the University at our About Us page.