Vanderbilt University Medical Center

Making Health Care Personal

Applied Artificial Intelligence Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

Tennessee

Posted

9 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishAzureCloudFlaskOpen SourcePythonPy TorchScikit LearnSQLTensorflow

Job Description

• 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 • 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 • 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

Job Requirements

  • 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

  • Health insurance
  • Professional development opportunities
  • Flexible work arrangements

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