Applied Artificial Intelligence Engineer

Vanderbilt University Medical Center

AI Engineer developing AI-powered features for medical education at Vanderbilt University. Focusing on personalized learning through data and AI in a remote position.

Posted 7/20/2026full-timeRemote • Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applied machine learning and AI engineering, with strong proficiency in Python and ML frameworks. Capable of building intelligent features and predictive models while effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords

Applied Machine LearningAI EngineeringPython ProgrammingLLM Application DevelopmentPredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI IntegrationBackend DevelopmentRESTful APIsSQLPredictive ModelingPrompt EngineeringData PipelinesDeployment of AI FeaturesVector Databases

Soft Skills

Clear CommunicationSelf-DirectionOwnership Mentality

Tools & Technologies

Scikit-learnPyTorchTensorFlowFastAPIFlaskDatabricksAzure Cloud ServicesMLflowCI/CD for MLPinecone

Industry Keywords

EducationHealthcareAI in EducationPedagogical AlignmentLearner Privacy

Tech Stack

Tools & technologies

AzureCloudFlaskOpen SourcePythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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 are seeking an AI Engineer to help realize our vision for precision medical education.
You will build intelligent features into our products, including LLM-powered tools, semantic search, recommendation systems, and AI integration.
You will contribute to predictive modeling efforts, including early identification of at-risk learners.
This is a high-ownership, foundational role where you will shape AI strategy and implementation.
You will work closely with educational leadership to identify AI opportunities for improving medical training.

Requirements

What you’ll need

A Bachelor’s degree in a related field from an accredited institution of higher education is necessary.
5 – 7 years of experience is 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) is 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.

Benefits

Comp & perks

This position does not provide sponsorship for employment now, or in the future, in any format.
Fully remote position
Hybrid availability if interested