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Lead AI Engineer

Humana

$142,300 - $195,700
Aug 26, 2025
Remote, US
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Develop and deploy innovative AI-powered solutions using large-scale datasets and cutting-edge tools to solve complex business challenges.

Requirements

  • 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.
  • Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
  • 3+ years of experience with containerization (e.g., Docker, Kubernetes).
  • 3+ years of experience with CI/CD tools, pipelines
  • Experience working with Large Language Model (LLM) in application development

Responsibilities

  • 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.
  • Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
  • 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.

Other

  • 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 Master's Degree in a similar field with at least 5 years of relevant experience.
  • Excellent problem-solving skills and ability to work in a collaborative environment.
  • Occasional travel to Humana's offices for training or meetings may be required.
  • Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
  • Self-provided internet service must meet specific download and upload speed criteria.