Senior Data Engineer – AI

Humana

Senior Data Engineer at Humana focused on AI development. Collaborating with data scientists to build solutions using large datasets and generative AI.

Posted 4/24/2026full-timeLouisville • Florida, Kentucky, Massachusetts, New York, Texas, Washington • 🇺🇸 United StatesSenior💰 $117,600 - $161,700 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesNumpyPandasPySparkPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions.
Work with large-scale datasets and state-of-the-art tools to address complex business problems.
Close collaboration with data scientists and fellow engineers across the entire AI development lifecycle—from data ingestion to deployment and monitoring.
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.

Requirements

What you’ll need

Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
3+ years of experience with containerization (e.g., Docker, Kubernetes).
3+ years of experience with CI/CD tools, pipelines
3+ years of experience with PySpark.
2+ years of experience working on any cloud platform. (Azure / GCP / AWS)
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience working with Large Language Model (LLM) in application development

Benefits

Comp & perks

medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance

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Hard Skills & Tools

PythonPandasNumPyFastAPIFlaskDockerKubernetesCI/CDPySparkTensorFlow