Key skills
PythonDatabricks Unity CatalogDatabricks MLflowDatabricks notebooksGitHubAzure Kubernetes ServiceAPI developmentCI/CD workflowsServiceNow data modelsRAG architectureVector databasesJavaScriptAIMLGenerative AIRAGAgenticMLflowData EngineeringDatabricksAzureKubernetesServiceNowCommunication
About this role
Humana Inc. is a leading U.S. healthcare company seeking a Senior Applied AI Engineer to support advanced AI initiatives focused on generative AI and data integration. This role involves leveraging a large data store in Databricks Unity Catalog to deliver scalable, intelligent solutions while collaborating with data engineering and business teams.
Responsibilities:
- Contribute to software projects emphasizing AI systems in VSCode/Pycharm, GitHub, and Databricks
- Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure Kubernetes Service
- Maintain and extend internal APIs, SDKs, and clients that support our projects
- Actively participate in architecting software and cloud solutions
- Communicate clearly with adjacent teams and stakeholders and manage expectations
Requirements:
- 3+ years of strong, hands-on experience with Python
- Comfort thinking in terms of engineering systems, not coding scripts
- Familiarity with Databricks (including Unity Catalog, MLflow, and notebooks)
- Strong experience with GitHub (commits, pull requests, integrations)
- Ability to lead technical walkthroughs and articulate design decisions
- Experience deploying apps, servers, or ML models in a production setting
- An active GitHub is required and will be requested if selected to move forward
- Experience creating CICD workflows in GitHub and/or ADO
- Familiarity with ServiceNow data models
- Familiarity with RAG architecture, vector databases, or agentic orchestration
- Familiarity with developing APIs and clients. Bonus points for MCP experience
- JavaScript familiarity
- Excellent communication skills