Decision Intelligence Engineer - Next Best Action

Humana

Remote Actively hiring Posted this week
Remote (US) Posted 4 days ago $129,300$177,800 / year

At a glance

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TL;DR

Join our dedicated team as a Decision Intelligence Engineer at Humana, where you will design and improve reinforcement learning policies for the Next Best Action platform. This hands-on role involves developing decision-making algorithms using techniques like PPO, A3C, DQN, CQL, and more, while ensuring compliance with clinical eligibility rules. You’ll build simulation environments to evaluate policy performance and collaborate closely with data engineers to maintain robust training pipelines using PySpark and Ray RLlib on the Databricks platform. Essential skills include Python 3.x, proficiency in reinforcement learning frameworks, and experience with MLflow for model management. Ideal candidates have a background in healthcare or finance, where reliability and explainability are paramount, and familiarity with multi-agent systems is preferred.

Skills

Python PySpark Databricks MLflow Ray RLlib TensorFlow PyTorch Markov Decision Processes Monte Carlo Methods Discrete-Event Simulation OpenTelemetry Gymnasium SimPy CI/CD Kubernetes

What you'll do

  • Design and implement reinforcement learning algorithms for healthcare decision-making.
  • Evaluate and frame member decisioning problems using Markov Decision Processes.
  • Apply Bellman-equation-based methods to encode clinical eligibility rules in models.
  • Build simulation environments to evaluate policy quality before production promotion.
  • Own the nightly Databricks training workflow, including feature engineering and scoring.

What we're looking for

  • 8+ years of experience in software engineering or quantitative research with a focus on large-scale production systems.
  • 3+ years of hands-on reinforcement learning implementation in production environments, including policy gradient and value-based RL methods.
  • Deep understanding of Markov Decision Processes and techniques for real-world decision system optimization.
  • Proficiency in Python 3.x and experience with PyTorch or TensorFlow for model implementation.
  • Experience with Databricks, PySpark, Delta Lake, and MLflow for large-scale data and machine learning pipelines.
  • Expertise in diagnosing failure modes in learned policies and ensuring production reliability of decision systems.

Employer

About Humana

Humana Inc. is a leading American for-profit health insurance company based in Louisville, Kentucky, specializing in Medicare Advantage plans.

Humana currently has 16 open roles on FindRole.

Listed pay typically runs $142,300–$195,700 across 16 roles with salary data.

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