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# AI Engineer

- **Company:** Humana Inc.
- **Location:** Boston, MA, United States
- **Salary:** $97,900.0 - $133,500.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Data Analysis, Extract Transform Load (ETL), Data Mining, DevOps, Python (Programming Language), Machine Learning, Language Modeling, Tensorflow, SQL Databases, Pytorch, LangChain, Large Language Models, Generative AI, Agentic-AI, Pyspark, Scikit Learn, CrewAI, AutoGen, Enterprise Integration, Machine Learning Operations
- **Published:** October 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5a6bc105cd2a8977

## About the Role

* Bachelor's Degree and 2 or more years of applicable experience OR Master's Degree and 1 or more year of experience preferably with a focus on developing production-ready AI solutions
 * Experience with Agentic AI System Design
 * Experience collaborating with MLOps and DevOps teams
 * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools
 * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
 * Experience with high performance, large-scale ML systems
 * Experience with language modeling with transformers
 * Experience with large-scale ETL

Additional Information

Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

## Description

* AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana's ethical standards, focusing on transparency, safety, and real-world impact.
 * Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.
 * Enterprise Integration & Business Collaboration Embed AI into Humana's systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly-especially around generative AI. Design for scalability, reliability, and compliance.
 * MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
 * Execution of data science initiatives, including design, development, and implementation.
 * Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high impact AI use case solutions.
 * Develop and maintain advanced AI/machine learning models and algorithms.
 * Design and implement robust monitoring capabilities to maintain optimal performance and reliability.

 * Experience in creating reports, projections, models, and presentations to business stakeholders.