Applied Artificial Intelligence Engineer (10007967)

*This position does not provide sponsorship for employment now, or in the future, in any
format.

Position Summary:
The Applied Artificial Intelligence Engineer is part of the Education
Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine. The Education Design
& Informatics Team (EDI) is responsible for technology, instructional design, data infrastructure, and quality improvement for Vanderbilt’s
MD program and affiliated health professions education. We maintain a comprehensive education data lake in Databricks, a custom digital
learning platform (VSTAR), and a vision for AI-augmented medical education that we’re ready to operationalize.

We’re seeking an AI
Engineer to help us realize our vision for precision medical education-using data and AI to personalize learning, predict learner needs, and
improve educational outcomes at scale.

You’ll be our first dedicated AI/ML role, working alongside a data engineer, full-stack
developers, and instructional designers to build intelligent features into our products. Near-term priorities include LLM-powered tools for
learners and educators, semantic search across educational content, recommendation systems for personalized learning pathways, and
integration of AI capabilities into VSTAR. As our AI maturity grows, you’ll also contribute to predictive modeling efforts, including early
identification of at-risk learners and competency progression analytics.

This is a high-ownership, foundational role. You’ll shape AI
strategy and implementation from the ground up, taking features from concept through production deployment. You’ll work closely with
educational leadership
to identify opportunities where AI can meaningfully improve how we train future physicians.

This position
is fully remote and reports directly to the Director of Education Design & Informatics. Open to hybrid availability if
interested.

About the Work Unit:
The Office of Health Sciences Education (OHSE) administers the degree
programs of the Vanderbilt University
School of Medicine (VUSM) and supports its mission to catalyze impactful discovery, servant
leadership, and
lifelong learning. OHSE staff provide comprehensive support across academic program administration,
educational design
and informatics, student services, and financial and operational oversight.

In alignment with VUSM’s commitment to excellence, OHSE
works to prepare future leaders in the health
professions who are equipped with the knowledge, skills, and judgment needed to deliver
safe, effective, ethical, and patient-centered care. Our students are encouraged to think critically, foster innovation, and understand the
broader systems and social factors that shape health outcomes-empowering them to advocate for positive change in both local and global
communities.

Key Functions and Expected Performance:
AI Application Development
* Design and build
AI-powered features for VSTAR and other EDI platforms, including intelligent
tutoring capabilities, semantic search, content
recommendations, and LLM-based tools for learners
and educators
* Apply appropriate AI implementation patterns and strategies such
as RAG architectures,
agentic workflows, prompt engineering strategies, and LLM orchestration patterns appropriate to
educational
use cases
* Develop backend services and APIs that expose AI capabilities for integration into VSTAR and
other applications, working
with the development team to determine appropriate integration patterns
* Evaluate vender versus open-source AI products and services
based on performance, cost, and
reliability considerations
* Ensure responsible AI practices, including appropriate guardrails,
content filtering, and
transparency in AI- assisted features

ML Engineering & Production Systems
* Build and maintain ML
pipelines in Databricks for feature engineering, model training, and
evaluation
* Deploy models and AI services to production with
appropriate monitoring, logging, and error
handling
* Implement MLOps practices proportionate to our maturity: version control,
testing,
documentation, and reproducibility
* Ensure performance, reliability, and scalability of AI-powered services
* Own the
full lifecycle of deployed AI features, including maintenance, iteration, and
retirement
* Contribute to predictive modeling
initiatives addressing educational challenges such as
learner performance prediction, early intervention identification, and resource
optimization

Collaboration & Strategy
* Partner with data engineering to ensure AI systems integrate cleanly with our data
infrastructure
* Collaborate with software developers to integrate AI features into existing applications
* Proactively communicate
progress, challenges, and decisions to the team through regular
check-ins, documentation, and asynchronous updates
* Work with
product and educational leadership to identify high-impact AI opportunities
* Contribute to EDI’s AI strategy and help establish best
practices for responsible AI
development in medical education
* Maintain clear documentation and support knowledge sharing across
the team
* Stay current with developments in AI tooling, particularly as they apply to education and
knowledge
work

Education and Certifications:
* A Bachelor’s degree in a related field from an accredited institution
of higher education is
necessary.

Experience and Skills:
* 5 – 7 years of experience i s
required.
* Experience in applied machine learning, AI engineering, or a related field (3+ years) is
necessary.
* Strong Python
skills and experience with ML frameworks such as scikit-learn, PyTorch, or
TensorFlow (3+ years) i s necessary.
* Hands-on
experience building applications with LLMs, including prompt engineering,
embeddings, retrieval-augmented generation, and agents (1+
years) is necessary.
* Experience developing backend services (FastAPI, Flask, or similar) and RESTful APIs (1+
years) is
necessary.
* Track record of deploying AI or ML features to production environments (1+ years) is
necessary.
* Comfort with SQL
and working with data pipelines (3+ years) is necessary.
* Ability to communicate technical concepts clearly to non-technical audiences
(3+ years) is
necessary.
* Experience with Databricks and Azure cloud services (1+ years) is preferred.
* Familiarity with MLOps
tools and practices (MLflow, model registries, CI/CD for ML) (1+
years) is preferred.
* Experience with vector databases (Pinecone,
Weaviate, Chroma, or similar) (1+ years) is
preferred.
* Experience working with multiple LLM providers or open source LLMs and
evaluating tradeoffs
(1+ years) is preferred.
* Background in building predictive models (classification, regression, forecasting)
(1+ years)
is preferred.
* Experience in education, healthcare, or other mission-driven sectors (1+ years) is preferred.
*
Familiarity with the unique considerations of AI in educational contexts (pedagogical
alignment, learner privacy, appropriate
automation) (1+ years) is preferred.
Demonstrated self-direction and ownership mentality in previous roles is necessary.

Required Skills

• Application Programming Interface (API) – VU
• Automation – VU
• Cloud
  Computing – VU
• Continuous Application Development – VU
• DevOps – VU
• Performance Analysis – VU
• Programming
  Languages – VU
• Quality Assurance – VU
• Scripting – VU
• Software Development Life Cycle – VU

About Us

At Vanderbilt University ,
our work – regardless of title or role – is in service to an important and noble mission in which every member of our community serves in
advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of “America’s Best Large Employers” as well
as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested
in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of
choice.

We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a
story. We want to hear it. We encourage you to apply today so that you might become a part of our story.

Vanderbilt University is an
equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex,
sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by
law.

Job Info

• Job Identification 10007967
• Posting Date 03/11/2026, 05:18 PM
• Locations
  Nashville, TN, United States (Remote)
• Degree Level Bachelor’s Degree
• Job Schedule Full time
• Job Category
  Information Technology
• Job Function Application Development
• Management Level Individual Contributor 3

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